cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25592/uhhfdm.8984
title: Subset of KoLaS (Commented Learner Corpus Academic Writing), Plain Text Version

description: For this upload, all Word files (.doc and .docx) in the original KoLaS corpus were converted to plain text. For more information see https://github.com/melandresen/Ich-Daten.
description: {"references": ["Andresen, Melanie & Dagmar Knorr. 2021. Exploring the Use of the Pronoun I in German Academic Texts with Machine Learning. In Ralf H. Reussner, Anne Koziolek & Robert Heinrich (eds.), INFORMATIK 2020: Back to the Future (Lecture Notes in Informatics), 1327\u20131333. Bonn: Gesellschaft f\u00fcr Informatik. https://doi.org/10.18420/inf2020_124."]}
DOI: 10.25838/d5p-49
title: Petersilie et al. 2023 - Figure 6

description: Brain organoids derived from human pluripotent stem cells (hPSCs) are a promising tool for studying human neurodevelopment and related disorders. Here, we generated long-term cultures of cortical brain organoid slices (cBOS) grown at the air-liquid interphase from regionalized cortical organoids. We demonstrate that cBOS host mature neurons and astrocytes organized in complex architecture. By leveraging the fact that cBOS allow direct access to the developing neural cells, we carried out an array of functional analyses. Whole-cell patch-clamp demonstrated subthreshold synaptic inputs and action potential firing of neurons. Spontaneous intracellular calcium signals turned into synchronous large scale calcium oscillations upon combined disinhibition of NMDA receptors and blocking of GABAA receptors. Lastly, FRET-based imaging with the genetically-encoded nanosensor ATeam1.03YEMK revealed the high sensitivity of neurons to acute metabolic inhibition. Altogether, cBOS represent a powerful platform for assessing the morphological and functional aspects of organized human neural cells in intact minimal networks.
DOI: 10.26050/wdcc/ar6.c6pmcasff
title: IPCC DDC: CAS FGOALS-f3-L model output prepared for CMIP6 PMIP

description: Project: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets - These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6; see also GMD Special Issue: http://www.geosci-model-dev.net/special_issue590.html). The simulation data provides a basis for climate research designed to answer fundamental science questions and serves as resource for authors of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6). CMIP6 is a project coordinated by the Working Group on Coupled Modelling (WGCM) as part of the World Climate Research Programme (WCRP). Phase 6 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. The original data is hosted and partially replicated on a federated collection of data nodes, and most of the data relied on by the IPCC is being archived for long-term preservation at the IPCC Data Distribution Centre (IPCC DDC) hosted by the German Climate Computing Center (DKRZ). The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. Summary: These data include the subset used by IPCC AR6 WGI authors of the datasets originally published in ESGF for 'CMIP6.PMIP.CAS.FGOALS-f3-L' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'. The FGOALS-f3-L climate model, released in 2017, includes the following components: atmos: FAMIL2.2 (Cubed-sphere, c96; 360 x 180 longitude/latitude; 32 levels; top level 2.16 hPa), land: CLM4.0, ocean: LICOM3.0 (LICOM3.0, tripolar primarily 1deg; 360 x 218 longitude/latitude; 30 levels; top grid cell 0-10 m), seaIce: CICE4.0. The model was run by the Chinese Academy of Sciences, Beijing 100029, China (CAS) in native nominal resolutions: atmos: 100 km, land: 100 km, ocean: 100 km, seaIce: 100 km.
DOI: 10.26050/wdcc/ar6.c6pmcasfgo
title: IPCC DDC: CAS FGOALS-g3 model output prepared for CMIP6 PMIP

description: Project: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets - These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6; see also GMD Special Issue: http://www.geosci-model-dev.net/special_issue590.html). The simulation data provides a basis for climate research designed to answer fundamental science questions and serves as resource for authors of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6). CMIP6 is a project coordinated by the Working Group on Coupled Modelling (WGCM) as part of the World Climate Research Programme (WCRP). Phase 6 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. The original data is hosted and partially replicated on a federated collection of data nodes, and most of the data relied on by the IPCC is being archived for long-term preservation at the IPCC Data Distribution Centre (IPCC DDC) hosted by the German Climate Computing Center (DKRZ). The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. Summary: These data include the subset used by IPCC AR6 WGI authors of the datasets originally published in ESGF for 'CMIP6.PMIP.CAS.FGOALS-g3' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'. The FGOALS-g3 climate model, released in 2017, includes the following components: atmos: GAMIL3 (180 x 80 longitude/latitude; 26 levels; top level 2.19hPa), land: CAS-LSM, ocean: LICOM3.0 (LICOM3.0, tripolar primarily 1deg; 360 x 218 longitude/latitude; 30 levels; top grid cell 0-10 m), seaIce: CICE4.0. The model was run by the Chinese Academy of Sciences, Beijing 100029, China (CAS) in native nominal resolutions: atmos: 250 km, land: 250 km, ocean: 100 km, seaIce: 100 km.
DOI: 10.26050/wdcc/ar6.c6pmcecc1
title: IPCC DDC: CNRM-CERFACS CNRM-CM6-1 model output prepared for CMIP6 PMIP

description: Project: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets - These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6; see also GMD Special Issue: http://www.geosci-model-dev.net/special_issue590.html). The simulation data provides a basis for climate research designed to answer fundamental science questions and serves as resource for authors of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6). CMIP6 is a project coordinated by the Working Group on Coupled Modelling (WGCM) as part of the World Climate Research Programme (WCRP). Phase 6 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. The original data is hosted and partially replicated on a federated collection of data nodes, and most of the data relied on by the IPCC is being archived for long-term preservation at the IPCC Data Distribution Centre (IPCC DDC) hosted by the German Climate Computing Center (DKRZ). The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. Summary: These data include the subset used by IPCC AR6 WGI authors of the datasets originally published in ESGF for 'CMIP6.PMIP.CNRM-CERFACS.CNRM-CM6-1' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'. The CNRM-CM6-1 climate model, released in 2017, includes the following components: aerosol: prescribed monthly fields computed by TACTIC_v2 scheme, atmos: Arpege 6.3 (T127; Gaussian Reduced with 24572 grid points in total distributed over 128 latitude circles (with 256 grid points per latitude circle between 30degN and 30degS reducing to 20 grid points per latitude circle at 88.9degN and 88.9degS); 91 levels; top level 78.4 km), atmosChem: OZL_v2, land: Surfex 8.0c, ocean: Nemo 3.6 (eORCA1, tripolar primarily 1deg; 362 x 294 longitude/latitude; 75 levels; top grid cell 0-1 m), seaIce: Gelato 6.1. The model was run by the CNRM (Centre National de Recherches Meteorologiques, Toulouse 31057, France), CERFACS (Centre Europeen de Recherche et de Formation Avancee en Calcul Scientifique, Toulouse 31057, France) (CNRM-CERFACS) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, atmosChem: 250 km, land: 250 km, ocean: 100 km, seaIce: 100 km.
DOI: 10.25345/c5jm23s2z
title: MassIVE MSV000092719 - Proteomic analysis of the injury site of zebrafish larvae after tal fin amputation
title: Global Proteomic Profiling - 10K (service provided by Bioproximity LLC). Up to 10,000 sequencing events. Includes 20 min UPLC-MS/MS on Q-Exactive Orbitrap via unbiased, data-dependent acquisition, inclusive of sample preparation and trypsin digestion, sequence library searching, relative quantitation and reporting via Proteome Cluster. Samples sequenced: 151101_30_151105223452: Sample 1 TFA 6hpa 151101_31: Sample 2 Control 6hpa 151101_32: Sample 3 TFA 24hpa 151101_33: Sample 4 Control 24hpa Abbreviations: ZF = Zebrafish TFA = Tail fin amputation hpa = hours post amputation
DOI: 10.6084/m9.figshare.23635608
title: P<strong>earl millet root-associated-microbiota</strong>

description: We studied the composition and the role of pearl millet root exudates in shaping the rhizosphere microbiota and in the soil aggregation.
DOI: 10.5517/ccdc.csd.cc1p323z
title: CCDC 1552080: Experimental Crystal Structure Determination

description: Related Article: Kelly E. Aldrich, Brennan S. Billow, Richard J. Staples, Aaron L. Odom|2018|Polyhedron|159|284|doi:10.1016/j.poly.2018.11.027
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.cc1p3240
title: CCDC 1552081: Experimental Crystal Structure Determination

description: Related Article: Kelly E. Aldrich, Brennan S. Billow, Richard J. Staples, Aaron L. Odom|2018|Polyhedron|159|284|doi:10.1016/j.poly.2018.11.027
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.cc1p3251
title: CCDC 1552082: Experimental Crystal Structure Determination

description: Related Article: Kelly E. Aldrich, Brennan S. Billow, Richard J. Staples, Aaron L. Odom|2018|Polyhedron|159|284|doi:10.1016/j.poly.2018.11.027
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.cc1p3262
title: CCDC 1552083: Experimental Crystal Structure Determination

description: Related Article: Kelly E. Aldrich, Brennan S. Billow, Richard J. Staples, Aaron L. Odom|2018|Polyhedron|159|284|doi:10.1016/j.poly.2018.11.027
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.cc1p3273
title: CCDC 1552084: Experimental Crystal Structure Determination

description: Related Article: Kelly E. Aldrich, Brennan S. Billow, Richard J. Staples, Aaron L. Odom|2018|Polyhedron|159|284|doi:10.1016/j.poly.2018.11.027
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.cc20jcmk
title: CCDC 1862778: Experimental Crystal Structure Determination

description: Related Article: Chihiro Sato, Shuichi Suzuki, Keiji Okada, and Masatoshi Kozaki|2018|Chem.Asian J.|13|3729|doi:10.1002/asia.201801269
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.cc21m1b2
title: CCDC 1895133: Experimental Crystal Structure Determination

description: Related Article: Hiromi Oshita,  Takashi Suzuki,  Kyohei Kawashima,  Hitoshi Abe,  Fumito Tani,  Seiji Mori,  Tatsuo Yajima, Yuichi Shimazaki|2019|Chem.-Eur.J.|25|7649|doi:10.1002/chem.201900733
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.cc23zyqs
title: CCDC 1966166: Experimental Crystal Structure Determination

description: Related Article: Toshihiro Fujiwara,  Atsuya Muranaka,  Tohru Nishinaga,  Shinobu Aoyagi,  Nagao Kobayashi,  Masanobu Uchiyama,  Hiroyuki Otani,  Masahiko Iyoda|2020|J.Am.Chem.Soc.|142|5933|doi:10.1021/jacs.9b13573
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: 10.26050/wdcc/ar6.c6pmcsae
title: IPCC DDC: CSIRO ACCESS-ESM1.5 model output prepared for CMIP6 PMIP

description: Project: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets - These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6; see also GMD Special Issue: http://www.geosci-model-dev.net/special_issue590.html). The simulation data provides a basis for climate research designed to answer fundamental science questions and serves as resource for authors of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6). CMIP6 is a project coordinated by the Working Group on Coupled Modelling (WGCM) as part of the World Climate Research Programme (WCRP). Phase 6 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. The original data is hosted and partially replicated on a federated collection of data nodes, and most of the data relied on by the IPCC is being archived for long-term preservation at the IPCC Data Distribution Centre (IPCC DDC) hosted by the German Climate Computing Center (DKRZ). The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. Summary: These data include the subset used by IPCC AR6 WGI authors of the datasets originally published in ESGF for 'CMIP6.PMIP.CSIRO.ACCESS-ESM1-5' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'. The Australian Community Climate and Earth System Simulator Earth System Model Version 1.5 climate model, released in 2019, includes the following components: aerosol: CLASSIC (v1.0), atmos: HadGAM2 (r1.1, N96; 192 x 145 longitude/latitude; 38 levels; top level 39255 m), land: CABLE2.4, ocean: ACCESS-OM2 (MOM5, tripolar primarily 1deg; 360 x 300 longitude/latitude; 50 levels; top grid cell 0-10 m), ocnBgchem: WOMBAT (same grid as ocean), seaIce: CICE4.1 (same grid as ocean). The model was run by the Commonwealth Scientific and Industrial Research Organisation, Aspendale, Victoria 3195, Australia (CSIRO) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, land: 250 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 km.
DOI: 10.15129/e288769f-906e-43eb-a740-0df8fdfc2c38
title: BROADSEAT (Beneficial Reuse Of Any Dredged Sediment Environmental Assessment Tool) Version en Français [software]

description: BROADSEAT est l'acronyme de "Beneficial Reuse Of Any Dredged Sediment Environmental Assessment Tool" (outil d'évaluation environnementale de la réutilisation bénéfique de tout sédiment dragué). Il est conçu pour vous aider à analyser les intérets environnementaux (et les éventuels compromis) d'un projet de dragage de réutilisation/utilisation bénéfique proposé ou achevé. Il utilise votre expertise professionnelle pour une "option de réutilisation des sédiments" (nommée "BRO" dans l'outil) qu'elle soit réelle ou hypothétique en la comparant à votre solution de gestion par défaut, c'est-à-dire celle que vous choisiriez normalement pour gérer vos opérations (nommée "BAU" dans l'outil). BROADSEAT note votre évaluation qualitative de l'impact enviornnemental (amélioration, équivalence, dégradation) sur une échelle binaire (+1/0/-1), en utilisant vos réponses à une série de questions. Ces questions couvrent l'ensemble des facteurs qui peuvent être pris en compte. Pour chaque question, vous répondez en sélectionnant une décision dans la liste déroulante. Il y a 52 questions, chacune relative à un seul facteur, réparties en 10 catégories (comparaison des transports, comparaison des énergies, économie circulaire, gestion des déchets, réglementation des déchets, environnement aquatique, services écosystémiques, biodiversité et conservation, impacts socio-économiques, objectifs de développement durable des Nations Unies) qui sont ensuite organisées en 4 groupes (énergie, déchets, environnement, sociétal). pour chaque facteur, une pondération par défaut est multipliée par le score binaire correspondant à votre réponse afin de calculer un score de performance. La cellule du tableau contenant le score résultant est colorée, du rouge (mauvais) au vert (bon) en passant par le blanc (identique), ce qui reflète aussi visuellement le score des réponses. Les pondérations sont conçues pour donner une importance égale aux quatre groupes, avec une note maximale de 25 pour tous les facteurs/catégories de chaque groupe. Ainsi, la note maximale (ou minimale) possible est de +100 (ou -100). Les scores de chaque facteur sont présentés sous forme de graphique radar. Ici, chaque facteur se situe entre +100 et -100. Les cellules contenant les scores de chaque groupe et le score global sont codées par couleur, du bleu (supérieur) au rouge (inférieur) en passant par le blanc (identique).
DOI: 10.6084/m9.figshare.24005724
title: Spiral of Silence Community Identity

description: Data on research within social media through the lens of the Spiral of Silence Theory and community identity.
DOI: 10.6084/m9.figshare.24005724.v2
title: Spiral of Silence Community Identity

description: Data on research within social media through the lens of the Spiral of Silence Theory and community identity.
DOI: 10.6084/m9.figshare.24005724.v1
title: Untitled Item

description: Data on research within social media through the lens of the Spiral of Silence Theory and community identity.
DOI: 10.14457/tu.the.2022.535
title: ผลของโปรแกรมส่งเสริมการจัดการอาการร่วมกับการสัมภาษณ์ เพื่อสร้างแรงจูงใจต่อประสบการณ์กลุ่มอาการด้านโภชนาการ พฤติกรรม ด้านโภชนาการ และภาวะโภชนาการของผู้ป่วยมะเร็งระบบโลหิตวิทยา ที่ได้รับยาเคมีบำบัด

description: การศึกษาวิจัยครั้งนี้เป็นการศึกษาวิจัยกึ่งทดลอง มีวัตถุประสงค์เพื่อศึกษาผลของโปรแกรมส่งเสริมการจัดการอาการร่วมกับการสัมภาษณ์เพื่อสร้างแรงจูงใจต่อประสบการณ์กลุ่มอาการด้านโภชนาการ พฤติกรรมด้านโภชนาการ และภาวะโภชนาการของผู้ป่วยมะเร็งระบบโลหิตวิทยาที่ได้รับยาเคมีบำบัด โดยประยุกต์ใช้กรอบแนวคิดการจัดการอาการของดอดด์ และคณะและแนวคิดการสัมภาษณ์เพื่อสร้างแรงจูงใจของมิลเลอและโรลนิค กลุ่มตัวอย่าง คือ ผู้ป่วยที่ได้รับการวินิจฉัยเป็นมะเร็งระบบโลหิตวิทยาและที่ได้รับยาเคมีบำบัดครั้งแรกที่มารับการรักษาในหอผู้ป่วยอายุรกรรม โรงพยาบาลธรรมศาสตร์เฉลิมพระเกียรติและโรงพยาบาลศิริราช จำนวน 47 ราย โดยคัดเลือกกลุ่มตัวอย่างแบบเฉพาะเจาะจงที่มีลักษณะตามคุณสมบัติที่กำหนด แบ่งเป็นกลุ่มทดลองและกลุ่มควบคุม เก็บข้อมูลในช่วงเดือนตุลาคม พ.ศ. 2563 ถึงเดือน ธันวาคม พ.ศ. 2565 เครื่องมือที่ใช้ในการวิจัยประกอบด้วย 1) โปรแกรมส่งเสริมการจัดการอาการร่วมกับการสัมภาษณ์เพื่อสร้างแรงจูงใจ 2) แบบสอบถามข้อมูลส่วนบุคคลและแบบบันทึกข้อมูลเกี่ยวกับโรคและการรักษา 3) แบบประเมินประสบการณ์กลุ่มอาการด้านโภชนาการ 4) แบบสอบถามพฤติกรรมด้านโภชนาการ และ5) แบบประเมินภาวะโภชนาการ Patient Generated-Subjective Global Assessment วิเคราะห์ข้อมูลโดยใช้สถิติเชิงพรรณนา สถิติไคสแควร์ สถิติฟิชเชอร์เอ็กแซคท์ สถิติแมน-วิทนีย์ ยู สถิติทีอิสระและทีคู่ผลการศึกษาพบว่า กลุ่มทดลองมีการรับรู้อาการ ความถี่ ความรุนแรงและความทุกข์ทรมานจากประสบการณ์กลุ่มอาการด้านโภชนาการ ได้แก่ อาการเบื่ออาหาร คลื่นไส้ และอาเจียนต่ำกว่ากลุ่มควบคุมอย่างมีนัยสำคัญทางสถิติ (p