cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2qw571
title: CCDC 2528553: Experimental Crystal Structure Determination

description: Related Article: Jens Langer, Helmar Görls|2026|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.cc2qw582
title: CCDC 2528554: Experimental Crystal Structure Determination

description: Related Article: Jens Langer, Helmar Görls|2026|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.cc2qw593
title: CCDC 2528555: Experimental Crystal Structure Determination

description: Related Article: Jens Langer, Helmar Görls|2026|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.cc2qw5b4
title: CCDC 2528556: Experimental Crystal Structure Determination

description: Related Article: Jens Langer, Helmar Görls|2026|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.cc2qw5c5
title: CCDC 2528557: Experimental Crystal Structure Determination

description: Related Article: Jens Langer, Helmar Görls|2026|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.cc2qw22s
title: CCDC 2528455: Experimental Crystal Structure Determination

description: Related Article: Miral Vora|2026|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.cc2qw24v
title: CCDC 2528457: Experimental Crystal Structure Determination

description: Related Article: Jens Langer, Helmar Görls|2026|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.cc2qw25w
title: CCDC 2528458: Experimental Crystal Structure Determination

description: Related Article: Jens Langer, Helmar Görls|2026|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.cc2qw26x
title: CCDC 2528459: Experimental Crystal Structure Determination

description: Related Article: Jens Langer, Helmar Görls|2026|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.cc2qw27y
title: CCDC 2528460: Experimental Crystal Structure Determination

description: Related Article: Jens Langer, Helmar Görls|2026|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.cc2qw28z
title: CCDC 2528461: Experimental Crystal Structure Determination

description: Related Article: Jens Langer, Helmar Görls|2026|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.cc2qw290
title: CCDC 2528462: Experimental Crystal Structure Determination

description: Related Article: Jens Langer, Helmar Görls|2026|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.cc2qw2b1
title: CCDC 2528463: Experimental Crystal Structure Determination

description: Related Article: Jens Langer, Helmar Görls|2026|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.cc2qw2h6
title: CCDC 2528468: Experimental Crystal Structure Determination

description: Related Article: Yuming Xu|2026|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.cc2qw2j7
title: CCDC 2528469: Experimental Crystal Structure Determination

description: Related Article: Jens Langer, Helmar Görls|2026|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.cc2qw2k8
title: CCDC 2528470: Experimental Crystal Structure Determination

description: Related Article: Jens Langer, Helmar Görls|2026|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.cc2qw2l9
title: CCDC 2528471: Experimental Crystal Structure Determination

description: Related Article: Jens Langer, Helmar Görls|2026|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.cc2qw2mb
title: CCDC 2528472: Experimental Crystal Structure Determination

description: Related Article: Jens Langer, Helmar Görls|2026|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.cc2qw2nc
title: CCDC 2528473: Experimental Crystal Structure Determination

description: Related Article: Jens Langer, Helmar Görls|2026|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.cc2qw2pd
title: CCDC 2528474: Experimental Crystal Structure Determination

description: Related Article: Jens Langer, Helmar Görls|2026|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.cc2qw2qf
title: CCDC 2528475: Experimental Crystal Structure Determination

description: Related Article: Jens Langer, Helmar Görls|2026|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.cc2qw2rg
title: CCDC 2528476: Experimental Crystal Structure Determination

description: Related Article: Jens Langer, Helmar Görls|2026|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.cc2qw2tj
title: CCDC 2528478: Experimental Crystal Structure Determination

description: Related Article: Liu Jiawei|2026|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.cc2qw33v
title: CCDC 2528487: Experimental Crystal Structure Determination

description: Related Article: Hairuo Zhang|2026|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: 10.6084/m9.figshare.26972566
title: Supporting data: Synergistic enhancement of wild bee abundance at the landscape scale through multiple types of agri-environmental interventions

description: The ongoing biodiversity crisis and increasing land pressure call for efficient strategies that promote biodiversity and sustain ecosystem services while minimizing trade-offs with agricultural production. Here, we examine how the concurrent implementation of two agri-environmental interventions—flower strips and extensively managed meadows—can synergistically enhance wild bees in agricultural landscapes through three nonexclusive mechanisms: (i) habitat heterogeneity, (ii) resource complementarity, and (iii) resource continuity. We sampled plant-bee interaction networks and nest-site availability across all major habitat types in 28 Central European agricultural landscapes to assess landscape-level bee community composition and the spatiotemporal distribution of resources. Landscapes combining both intervention types showed a synergistic increase in wild bee abundance, including key crop pollinators. Consistent with habitat heterogeneity effects, bee species turnover was higher between different intervention types than between patches of the same type, resulting in increased species richness in landscapes with both interventions. Bee communities in landscapes with flower strips were dominated by smaller and more oligolectic species, whereas higher proportions of extensively managed meadows were associated with lower functional specialization and a more balanced bee community composition, likely reflecting alleviated environmental filtering. Extensively managed meadows provided suitable nesting habitat for ground-nesting bees and both interventions independently increased bees’ foraging generality toward a broadened diet, indicating resource complementarity. The bees’ extinction risk from agricultural landscapes was also reduced by both interventions, likely through measured staggered flowering periods that increased resource continuity. Overall, our findings demonstrate that combining complementary agri-environmental interventions can increase land-use efficiency and enhance ecosystem services by more effectively promoting wild pollinators, thereby reducing trade-offs between biodiversity conservation and agricultural production.<br><b>Description of the data files</b>Each file has a sheet containing the data and a sheet with a detailed description of all variables found in the data (Readme).Site_level: contains information of bee abundance, species richness, functional diversity and network metrics as well as covariates (landscape composition, floral availability etc.) for each sampled landscapeTransect_level: contains information of bee abundance and species richness as well as covariates (landscape composition, floral availability, temperature etc.) for each sampled transectNests_transect: contains the information about nests from ground nesting bees for each transect<br><br><br><br><br>
DOI: 10.6084/m9.figshare.26972566.v1
title: Supporting data: Synergistic enhancement of wild bee abundance at the landscape scale through multiple types of agri-environmental interventions

description: The ongoing biodiversity crisis and increasing land pressure call for efficient strategies that promote biodiversity and sustain ecosystem services while minimizing trade-offs with agricultural production. Here, we examine how the concurrent implementation of two agri-environmental interventions—flower strips and extensively managed meadows—can synergistically enhance wild bees in agricultural landscapes through three nonexclusive mechanisms: (i) habitat heterogeneity, (ii) resource complementarity, and (iii) resource continuity. We sampled plant-bee interaction networks and nest-site availability across all major habitat types in 28 Central European agricultural landscapes to assess landscape-level bee community composition and the spatiotemporal distribution of resources. Landscapes combining both intervention types showed a synergistic increase in wild bee abundance, including key crop pollinators. Consistent with habitat heterogeneity effects, bee species turnover was higher between different intervention types than between patches of the same type, resulting in increased species richness in landscapes with both interventions. Bee communities in landscapes with flower strips were dominated by smaller and more oligolectic species, whereas higher proportions of extensively managed meadows were associated with lower functional specialization and a more balanced bee community composition, likely reflecting alleviated environmental filtering. Extensively managed meadows provided suitable nesting habitat for ground-nesting bees and both interventions independently increased bees’ foraging generality toward a broadened diet, indicating resource complementarity. The bees’ extinction risk from agricultural landscapes was also reduced by both interventions, likely through measured staggered flowering periods that increased resource continuity. Overall, our findings demonstrate that combining complementary agri-environmental interventions can increase land-use efficiency and enhance ecosystem services by more effectively promoting wild pollinators, thereby reducing trade-offs between biodiversity conservation and agricultural production.<br><b>Description of the data files</b>Each file has a sheet containing the data and a sheet with a detailed description of all variables found in the data (Readme).Site_level: contains information of bee abundance, species richness, functional diversity and network metrics as well as covariates (landscape composition, floral availability etc.) for each sampled landscapeTransect_level: contains information of bee abundance and species richness as well as covariates (landscape composition, floral availability, temperature etc.) for each sampled transectNests_transect: contains the information about nests from ground nesting bees for each transect<br><br><br><br><br>
DOI: 10.5517/ccdc.csd.cc2qw3c3
title: CCDC 2528495: Experimental Crystal Structure Determination

description: Related Article: OMAR A. BASUDAN, ALI A. EL GAMAL, Shaza M Al-Massarani, Wael M Abdelmageed, Tawfeq AlHowiriny, James B. Orton, Mohammad Nur-e-Alam|2026|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.cc2qw4kb
title: CCDC 2528532: Experimental Crystal Structure Determination

description: Related Article: Li Wangyang|2026|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: 10.5281/zenodo.18484685
title: НЕОЛОГИЗМЫ И ОККАЗИОНАЛЬНЫЕ ОБРАЗОВАНИЯ В РУССКОМ ЯЗЫКЕ XXI ВЕКА.

description: В статье рассматривается о понятие неологизмов в современном русском языке
DOI: 10.5281/zenodo.18484686
title: НЕОЛОГИЗМЫ И ОККАЗИОНАЛЬНЫЕ ОБРАЗОВАНИЯ В РУССКОМ ЯЗЫКЕ XXI ВЕКА.

description: В статье рассматривается о понятие неологизмов в современном русском языке
DOI: 10.5281/zenodo.18484702
title: СИНТАКСИЧЕСКАЯ СИНОНИМИЯ КАК ИСТОЧНИК БОГАТСТВА И ВЫРАЗИТЕЛЬНОСТИ РУССКОЙ РЕЧИ

description: В статье рассматривается о синтаксической синонимии,как источник богатства и выразительности русской речи.
DOI: 10.5281/zenodo.18484701
title: СИНТАКСИЧЕСКАЯ СИНОНИМИЯ КАК ИСТОЧНИК БОГАТСТВА И ВЫРАЗИТЕЛЬНОСТИ РУССКОЙ РЕЧИ

description: В статье рассматривается о синтаксической синонимии,как источник богатства и выразительности русской речи.
DOI: 10.5281/zenodo.18484717
title: ВЗАИМОСВЯЗЬ МЕЖДУ ФИЗИКОЙ И ПРИКЛАДНОЙ МАТЕМАТИКОЙ В СИСТЕМЕ КРЕДИТНЫХ МОДУЛЕЙ

description: В контексте модульной системы обучения физика и прикладная математика часто преподаются как отдельные и независимые области знаний. Однако такой подход не позволяет в полной мере раскрыть внутреннюю логическую и методологическую связь между этими дисциплинами. В данной статье анализируются теоретические и практические аспекты взаимосвязи физики и прикладной математики в рамках модульной системы обучения и обосновывается их взаимодополняемость. В то время как физика направлена на определение законов природных явлений, прикладная математика является средством моделирования, расчета и решения практических задач, связанных с этими законами. Поэтому важна роль методов прикладной математики в глубоком понимании физических процессов и их применении на практике. В статье подчеркиваются возможности модульной системы обучения в развитии у студентов навыков самостоятельного обучения и показано, что интегрированное преподавание физики и прикладной математики повышает эффективность образования. Такой подход способствует укреплению теоретических основ междисциплинарной интеграции в современном инженерно-естественнонаучном образовании.
DOI: 10.5281/zenodo.18484716
title: ВЗАИМОСВЯЗЬ МЕЖДУ ФИЗИКОЙ И ПРИКЛАДНОЙ МАТЕМАТИКОЙ В СИСТЕМЕ КРЕДИТНЫХ МОДУЛЕЙ

description: В контексте модульной системы обучения физика и прикладная математика часто преподаются как отдельные и независимые области знаний. Однако такой подход не позволяет в полной мере раскрыть внутреннюю логическую и методологическую связь между этими дисциплинами. В данной статье анализируются теоретические и практические аспекты взаимосвязи физики и прикладной математики в рамках модульной системы обучения и обосновывается их взаимодополняемость. В то время как физика направлена на определение законов природных явлений, прикладная математика является средством моделирования, расчета и решения практических задач, связанных с этими законами. Поэтому важна роль методов прикладной математики в глубоком понимании физических процессов и их применении на практике. В статье подчеркиваются возможности модульной системы обучения в развитии у студентов навыков самостоятельного обучения и показано, что интегрированное преподавание физики и прикладной математики повышает эффективность образования. Такой подход способствует укреплению теоретических основ междисциплинарной интеграции в современном инженерно-естественнонаучном образовании.
DOI: 10.25835/pc1kjg49
title: ampd-einstein-elevator-tests