cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.1285/i20356609v13i2p970
title: Re-Connecting Voices. The (New) Strategic Role of Public Sector Communication After Covid-19 Crisis

description: This article aims to investigate the evolution of public sector communication before and after the Covid-19 crisis that has strongly impacted governmental institutions, public policy, contemporary society, and media ecologies. After a review of the main characteristics of public sector communication, the article proposes an interpretative and dynamic model to better understand the new challenges for public institutions. The model introduces ethics as the new, primary driver for public sector communication to surround all decisions, pointing out the need for transparent, authentic participation and dialogue to build trust. Focusing on two dimensions (trust/distrust, openness/closedness), the authors investigate the main trajectories of change for public sector communication, conceiving the three pillars of open government (transparency, participation and collaboration) as strategic values for improving the quality and efficacy of communication. In this time of uncertainty, the new trajectories of communication should fully embrace an ethical approach in order to become resilient, able to respond to citizens' needs and expectations, and to maintain responsible relationships with media, varied strategic publics, and a rapidly changing global community.
DOI: 10.6084/m9.figshare.23702436
title: Pool2.sff

description: Pool 2 of Ladakh glacier forefield transects.
DOI: 10.6084/m9.figshare.23702436.v1
title: I52T1KG01.sff

description: Pool 2 of Ladakh Glacier Forefield Transects
DOI: 10.6084/m9.figshare.23702436.v2
title: Pool2.sff

description: Pool 2 of Ladakh glacier forefield transects.
DOI: 10.6084/m9.figshare.23702442
title: Pool3.sff

description: Pool 3 of Ladakh glacier forefield transects.
DOI: 10.6084/m9.figshare.23702442.v2
title: Pool3.sff

description: Pool 3 of Ladakh glacier forefield transects.
DOI: 10.6084/m9.figshare.23702442.v1
title: JASZL5F01.sff

description: Pool 3 of Ladakh glacier forefield transects.
DOI: 10.6084/m9.figshare.23702445
title: Pool4.sff

description: Pool 4 of Ladakh glacier forefield transects.
DOI: 10.6084/m9.figshare.23702445.v1
title: Pool4.sff

description: Pool 4 of Ladakh glacier forefield transects.
DOI: 10.6084/m9.figshare.23702427
title: Fig2

description: Experimental data presented in Fig.2
DOI: 10.6084/m9.figshare.23702451
title: Pool5.sff

description: Pool 5 of Ladakh glacier forefield transects.
DOI: 10.6084/m9.figshare.23702451.v1
title: Pool5.sff

description: Pool 5 of Ladakh glacier forefield transects.
DOI: 10.4119/unibi/2954216
title: Searching for a Wet Nurse: Prato, 1395–98
DOI: 10.6084/m9.figshare.23702478
title: Exploration and Verification of Tunnel Stability Evolution Law under Jointed Rock Mass with Various Attitudes

description: This data is a numerical simulation result obtained by using Midas GTS/NX software to investigate the displacement and force pattern of surrounding rock and tunnel structure in various attitudes of joints in the background of Linpanshan Tunnel, focusing on two factors, namely, joint inclination and spacing.
DOI: 10.25345/c5rf5kr8g
title: MassIVE MSV000092464 - Metabolic reconfiguration in primed barley (Hordeum vulgare L.) plants in response to Pyrenophora teres f. teres trial
title: barley metabolomics. Necrotrophic fungi can affect a wide range of plants and cause significant crop losses. For the activation of multi-layered innate immune defences, plants can be primed or pre-conditioned to rapidly and more efficiently counteract the pathogen. Defence priming is an effective method for enhancing resistance with reduced fitness cost.
DOI: 10.5517/ccdc.csd.cc1lp0ny
title: CCDC 1479960: Experimental Crystal Structure Determination

description: Related Article: Jiahe Li, Zhiyuan Wang, Zhongting Chen, Xingyong Xue, Kejuan Lin, Hailan Chen, Lixia Pan, Yulin Yuan, Zhen Ma|2023|Dalton Trans.|52|9607|doi:10.1039/D2DT03463H
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.cc24dbtq
title: CCDC 1978073: Experimental Crystal Structure Determination

description: Related Article: Jiahe Li, Zhiyuan Wang, Zhongting Chen, Xingyong Xue, Kejuan Lin, Hailan Chen, Lixia Pan, Yulin Yuan, Zhen Ma|2023|Dalton Trans.|52|9607|doi:10.1039/D2DT03463H
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.cc24dbvr
title: CCDC 1978074: Experimental Crystal Structure Determination

description: Related Article: Jiahe Li, Zhiyuan Wang, Zhongting Chen, Xingyong Xue, Kejuan Lin, Hailan Chen, Lixia Pan, Yulin Yuan, Zhen Ma|2023|Dalton Trans.|52|9607|doi:10.1039/D2DT03463H
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.cc24dbws
title: CCDC 1978075: Experimental Crystal Structure Determination

description: Related Article: Jiahe Li, Zhiyuan Wang, Zhongting Chen, Xingyong Xue, Kejuan Lin, Hailan Chen, Lixia Pan, Yulin Yuan, Zhen Ma|2023|Dalton Trans.|52|9607|doi:10.1039/D2DT03463H
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.cc24dbxt
title: CCDC 1978076: Experimental Crystal Structure Determination

description: Related Article: Jiahe Li, Zhiyuan Wang, Zhongting Chen, Xingyong Xue, Kejuan Lin, Hailan Chen, Lixia Pan, Yulin Yuan, Zhen Ma|2023|Dalton Trans.|52|9607|doi:10.1039/D2DT03463H
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.cc24dbyv
title: CCDC 1978077: Experimental Crystal Structure Determination

description: Related Article: Jiahe Li, Zhiyuan Wang, Zhongting Chen, Xingyong Xue, Kejuan Lin, Hailan Chen, Lixia Pan, Yulin Yuan, Zhen Ma|2023|Dalton Trans.|52|9607|doi:10.1039/D2DT03463H
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.cc24mbgl
title: CCDC 1984789: Experimental Crystal Structure Determination

description: Related Article: Rajadurai Chandrasekar, Mari Annadhasan, Abhijeet R. Agrawal, Surojit Bhunia, Vuppu Vinay Pradeep, Sanjio S. Zade, Chilla Malla Reddy|2020|Angew.Chem.,Int.Ed.|59|13852|doi:10.1002/anie.202003820
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.cc25w81d
title: CCDC 2022193: Experimental Crystal Structure Determination

description: Related Article: Jaclyn J. Raymond, Samira M. Abozeid, Gregory E. Sokolow, Christopher J. Bond, Constance E. Yap, Alexander Y. Nazarenko, Janet R. Morrow|2023|Dalton Trans.|52|9831|doi:10.1039/D3DT01572F
description: Related Article: Alexander Y Nazarenko, Janet R Morrow, Samira M Abozeid, Christopher J. Bond|2021|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.cc25w82f
title: CCDC 2022194: Experimental Crystal Structure Determination

description: Related Article: Jaclyn J. Raymond, Samira M. Abozeid, Gregory E. Sokolow, Christopher J. Bond, Constance E. Yap, Alexander Y. Nazarenko, Janet R. Morrow|2023|Dalton Trans.|52|9831|doi:10.1039/D3DT01572F
description: Related Article: Alexander Y Nazarenko, Janet R Morrow, Samira M Abozeid, Christopher J. Bond|2021|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.cc25w83g
title: CCDC 2022195: Experimental Crystal Structure Determination

description: Related Article: Jaclyn J. Raymond, Samira M. Abozeid, Gregory E. Sokolow, Christopher J. Bond, Constance E. Yap, Alexander Y. Nazarenko, Janet R. Morrow|2023|Dalton Trans.|52|9831|doi:10.1039/D3DT01572F
description: Related Article: Alexander Y Nazarenko, Janet R Morrow, Samira M Abozeid, Christopher J. Bond|2021|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.cc2d9j3c
title: CCDC 2213682: Experimental Crystal Structure Determination

description: Related Article: Xinyuan Ma, Vladislav A. Voloshkin, Ekaterina A. Martynova, Marek Beliš, Min Peng, Marco Villa, Nikolaos V. Tzouras, Wim Janssens, Kristof Van Hecke, Paola Ceroni, Steven P. Nolan|2023|Cat.Sci.Tech.|13|4168|doi:10.1039/D3CY00716B
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.cc2d9j4d
title: CCDC 2213683: Experimental Crystal Structure Determination

description: Related Article: Xinyuan Ma, Vladislav A. Voloshkin, Ekaterina A. Martynova, Marek Beliš, Min Peng, Marco Villa, Nikolaos V. Tzouras, Wim Janssens, Kristof Van Hecke, Paola Ceroni, Steven P. Nolan|2023|Cat.Sci.Tech.|13|4168|doi:10.1039/D3CY00716B
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: 10.17909/k0dp-d661
title: IUE data of HD 175156
DOI: 10.15156/bio/sh1629538.08fu
title: SH1629538.08FU

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: 10.25549/one-c4-25657
title: ONE, Inc. annual report (1968)

description: ONE, Inc. annual report (1968)
DOI: 10.15156/bio/sh1629539.08fu
title: SH1629539.08FU

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/sh1629540.08fu
title: SH1629540.08FU

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/sh1629541.08fu
title: SH1629541.08FU

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/sh1629542.08fu
title: SH1629542.08FU

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/sh1629543.08fu
title: SH1629543.08FU

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/sh1629544.08fu
title: SH1629544.08FU

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/sh1629545.08fu
title: SH1629545.08FU

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: 10.25549/one-c4-25658
title: ONE, Inc. annual report (1968)

description: ONE, Inc. annual report (1968)
DOI: 10.15156/bio/sh1629546.08fu
title: SH1629546.08FU

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/sh1629547.08fu
title: SH1629547.08FU

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.