cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.26050/wdcc/ar6.c6pmmxml2
title: IPCC DDC: MPI-M MPIESM1.2-LR 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.MPI-M.MPI-ESM1-2-LR' 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 MPI-ESM1.2-LR climate model, released in 2017, includes the following components: aerosol: none, prescribed MACv2-SP, atmos: ECHAM6.3 (spectral T63; 192 x 96 longitude/latitude; 47 levels; top level 0.01 hPa), land: JSBACH3.20, landIce: none/prescribed, ocean: MPIOM1.63 (bipolar GR1.5, approximately 1.5deg; 256 x 220 longitude/latitude; 40 levels; top grid cell 0-12 m), ocnBgchem: HAMOCC6, seaIce: unnamed (thermodynamic (Semtner zero-layer) dynamic (Hibler 79) sea ice model). The model was run by the Max Planck Institute for Meteorology, Hamburg 20146, Germany (MPI-M) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, land: 250 km, landIce: none, ocean: 250 km, ocnBgchem: 250 km, seaIce: 250 km.
DOI: 10.5517/cc720dp
title: CCDC 210471: Experimental Crystal Structure Determination

description: Related Article: M.Hatano, K.Mikami|2006|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/cc720gr
title: CCDC 210473: Experimental Crystal Structure Determination

description: Related Article: M.Hatano, K.Mikami|2006|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/cc720fq
title: CCDC 210472: Experimental Crystal Structure Determination

description: Related Article: M.Hatano, K.Mikami|2006|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/ccppb0p
title: CCDC 646102: Experimental Crystal Structure Determination

description: Related Article: R.T.Tjahjanto, J.Beck|2007|Z.Naturforsch.,B:Chem.Sci.|62|1291|
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/ccwcz17
title: CCDC 815859: Experimental Crystal Structure Determination

description: Related Article: Qi-Long Zhang,Bi-Xue Zhu|2011|Huaxue Yanjiu Yu Yingyong|23|1409|
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.cc1prvs2
title: CCDC 1572065: Experimental Crystal Structure Determination

description: Related Article: Sofia Ferrer, Antonio M. Echavarren|2018|Organometallics|37|781|doi:10.1021/acs.organomet.7b00668
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.cc1prvt3
title: CCDC 1572066: Experimental Crystal Structure Determination

description: Related Article: Sofia Ferrer, Antonio M. Echavarren|2018|Organometallics|37|781|doi:10.1021/acs.organomet.7b00668
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.c6pmmrme0
title: IPCC DDC: MRI MRI-ESM2.0 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.MRI.MRI-ESM2-0' 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 MRI-ESM2.0 climate model, released in 2017, includes the following components: aerosol: MASINGAR mk2r4 (TL95; 192 x 96 longitude/latitude; 80 levels; top level 0.01 hPa), atmos: MRI-AGCM3.5 (TL159; 320 x 160 longitude/latitude; 80 levels; top level 0.01 hPa), atmosChem: MRI-CCM2.1 (T42; 128 x 64 longitude/latitude; 80 levels; top level 0.01 hPa), land: HAL 1.0, ocean: MRI.COM4.4 (tripolar primarily 0.5 deg latitude/1 deg longitude with meridional refinement down to 0.3 deg within 10 degrees north and south of the equator; 360 x 364 longitude/latitude; 61 levels; top grid cell 0-2 m), ocnBgchem: MRI.COM4.4, seaIce: MRI.COM4.4. The model was run by the Meteorological Research Institute, Tsukuba, Ibaraki 305-0052, Japan (MRI) in native nominal resolutions: aerosol: 250 km, atmos: 100 km, atmosChem: 250 km, land: 100 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 km.
DOI: 10.5517/ccdc.csd.cc20pwf1
title: CCDC 1868073: Experimental Crystal Structure Determination

description: Related Article: Simon Aldridge, Ying Kai Loh, Maria Angeles Fuentes, Petra Vasko|2018|Angew.Chem.,Int.Ed.|57|16559|doi:10.1002/anie.201810709
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.cc24v4rx
title: CCDC 1991339: Experimental Crystal Structure Determination

description: Related Article: W. Clegg, R.W. Harrington|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.cc2100wz
title: CCDC 1876860: Experimental Crystal Structure Determination

description: Related Article: Jean-Philippe Cloutier, Lionel Rechignat, Yves Canac, Daniel H. Ess, Davit Zargarian|2019|Inorg.Chem.|58|3861|doi:10.1021/acs.inorgchem.8b03489
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.cc255fxq
title: CCDC 2001233: Experimental Crystal Structure Determination

description: Related Article: Sergio Gonell, Eric A. Assaf, Kyle D. Duffee, Cynthia K. Schauer, Alexander J. M. Miller|2020|J.Am.Chem.Soc.|142|8980|doi:10.1021/jacs.0c02912
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.7232163
title: Data supplement for "Molecular motors enhance microtubule lattice plasticity" Lecompte, William; John, Karin

description: This dataset contains the data and source files for figures 2 (a-e), 3(a-d), 4(b,c,e) and Supplementary figures 1, 2(a-e) and 3(a-c) in the following publication: W. Lecompte and K. John "Molecular motors enhance microtubule lattice plasticity" published in 2022 in ArXiv (https://arxiv.org/abs/2209.09161) Please follow the instructions given in 'Readme.txt'.
DOI: 10.5281/zenodo.7232162
title: Data supplement for "Molecular motors enhance microtubule lattice plasticity" Lecompte, William; John, Karin

description: This dataset contains the data and source files for figures 2 (a-e), 3(a-d), 4(b,c,e) and Supplementary figures 5, 7(a-e), 8 and 9(a-c) in the following publication: W. Lecompte and K. John "Molecular motors enhance microtubule lattice plasticity" published in 2023 in PRX Life (ArXiv https://arxiv.org/abs/2209.09161) Please follow the instructions given in 'Readme.txt'.
DOI: 10.5281/zenodo.8272736
title: Data supplement for "Molecular motors enhance microtubule lattice plasticity" Lecompte, William; John, Karin

description: This dataset contains the data and source files for figures 2 (a-e), 3(a-d), 4(b,c,e) and Supplementary figures 5, 7(a-e), 8 and 9(a-c) in the following publication: W. Lecompte and K. John "Molecular motors enhance microtubule lattice plasticity" published in 2023 in PRX Life (ArXiv https://arxiv.org/abs/2209.09161) Please follow the instructions given in 'Readme.txt'.
DOI: 10.26050/wdcc/ar6.c6pmgigeg
title: IPCC DDC: NASA-GISS GISS-E2.1G 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.NASA-GISS.GISS-E2-1-G' 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'. NOTE (NASA-GISS 2019-09-16): variables nbp, nep, cSoil, cSoilAbove1m, rh were retracted for all dataset versions earlier than 2019-09-16. The GISS-E2.1G climate model, released in 2019, includes the following components: aerosol: Varies with physics-version (p==1 none, p==3 OMA, p==4 TOMAS, p==5 MATRIX), atmos: GISS-E2.1 (2.5x2 degree; 144 x 90 longitude/latitude; 40 levels; top level 0.1 hPa), atmosChem: Varies with physics-version (p==1 Non-interactive, p&gt;1 GPUCCINI), land: GISS LSM, ocean: GISS Ocean (GO1, 1 degree; 360 x 180 longitude/latitude; 40 levels; top grid cell 0-10 m), seaIce: GISS SI. The model was run by the Goddard Institute for Space Studies, New York, NY 10025, USA (NASA-GISS) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, atmosChem: 250 km, land: 250 km, ocean: 100 km, seaIce: 250 km.
DOI: 10.6084/m9.figshare.23003774
title: <strong>Sustainable Economic Development through Strategic Planning, Environmental Sustainability, Innovation, and Learning in Community Enterprises: Evidence from Ranong Province, Thailand</strong>

description: This study offers useful recommendations for business owners, decision-makers, and local communities while also advancing our understanding of the variables affecting the performance of community enterprises in Ranong Province. Community companies can perform better, experience sustainable growth, and have a good effect on their communities and the environment by concentrating on four important areas.
DOI: 10.6084/m9.figshare.23003774.v1
title: <strong>Sustainable Economic Development through Strategic Planning, Environmental Sustainability, Innovation, and Learning in Community Enterprises: Evidence from Ranong Province, Thailand</strong>

description: This study offers useful recommendations for business owners, decision-makers, and local communities while also advancing our understanding of the variables affecting the performance of community enterprises in Ranong Province. Community companies can perform better, experience sustainable growth, and have a good effect on their communities and the environment by concentrating on four important areas.
DOI: 10.6084/m9.figshare.24005949
title: The use of linked data research in UK decision-making related to early life health: A systematic mapping review - supplementary material

description: This document details the results of the search strategy for a systematic mapping review. The review aims to provide an overall description of how linked data research has been used in UK decision-making relating to early life health; explore the factors affecting the use of linked data as evidence in these decisions; and identify where evidence is lacking to inform further research. This review forms part of a PhD project being undertaken by Hollie Henderson at the University of York, which aims to understand how linked data can be used as a local health intelligence tool for child and maternal health. This project is funded by the White Rose Consortium and is part of the National Institute for Health Research (NIHR) Yorkshire and Humber Applied Research Collaboration (YHARC).
DOI: 10.6084/m9.figshare.24005949.v1
title: The use of linked data research in UK decision-making related to early life health: A systematic mapping review - supplementary material

description: This document details the results of the search strategy for a systematic mapping review. The review aims to provide an overall description of how linked data research has been used in UK decision-making relating to early life health; explore the factors affecting the use of linked data as evidence in these decisions; and identify where evidence is lacking to inform further research. This review forms part of a PhD project being undertaken by Hollie Henderson at the University of York, which aims to understand how linked data can be used as a local health intelligence tool for child and maternal health. This project is funded by the White Rose Consortium and is part of the National Institute for Health Research (NIHR) Yorkshire and Humber Applied Research Collaboration (YHARC).
DOI: 10.26050/wdcc/ar6.c6pmnrces
title: IPCC DDC: NCAR CESM2 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.NCAR.CESM2' 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 CESM2 climate model, released in 2018, includes the following components: aerosol: MAM4 (same grid as atmos), atmos: CAM6 (0.9x1.25 finite volume grid; 288 x 192 longitude/latitude; 32 levels; top level 2.25 mb), atmosChem: MAM4 (same grid as atmos), land: CLM5 (same grid as atmos), landIce: CISM2.1, ocean: POP2 (320x384 longitude/latitude; 60 levels; top grid cell 0-10 m), ocnBgchem: MARBL (same grid as ocean), seaIce: CICE5.1 (same grid as ocean). The model was run by the National Center for Atmospheric Research, Climate and Global Dynamics Laboratory, 1850 Table Mesa Drive, Boulder, CO 80305, USA (NCAR) in native nominal resolutions: aerosol: 100 km, atmos: 100 km, atmosChem: 100 km, land: 100 km, landIce: 5 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 km.
DOI: 10.5285/0309797f-5092-242c-e063-6c86abc005af
title: POLCOMS-WAM model run in the Irish Sea generating eastward and northward currents at 32 depth layers for the CoFEE project for 11 years from 1996.

description: This dataset consists of eastward and northward current components at 32 depth levels. The dataset is a gridded dataset, with grid resolution of 1.85 km. It covers the entire Irish Sea area, with a precise range from -2.7 degrees longitude to -7 degrees longitude and from 51 degrees latitude to 56 degrees latitude. The data are daily averages and cover the period from 01 January 1996 to 01 January 2007. The eastward and northward current components were used as input conditions into a coastal processes and sediment transport model which looked at the response of the north Liverpool coastline to extreme flooding events. The dataset was generated by the Proudman Oceanographic Laboratory Coastal Ocean Modelling System coupled with the Wave Modelling model (POLCOMS-WAM) as part of the Natural Environment Research Council (NERC) CoFEE project which ran from April 2007 to September 2010. The dataset consists of 132 data files in Climate and Forecast (CF) compliant NetCDF format.
DOI: 10.5517/cc94lgg
title: CCDC 272535: Experimental Crystal Structure Determination

description: Related Article: T.Zimmermann, R.Gompper, K.Polborn|2005|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.cctm8j6
title: CCDC 763298: Experimental Crystal Structure Determination

description: Related Article: Thomas Nebe, Xing-Uan Xu, Alexander Beitat, Christian Würtele, Olaf Walter, Michael Serafin|2016|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.