cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2pyqjx
title: CCDC 2501220: Experimental Crystal Structure Determination

description: Related Article: Benjamin Pitz, Sergi Danés, Bernd Morgenstern, André Schäfer|2026|Chem.Commun.|62|2204|doi:10.1039/d5cc06448a
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.cc2pyqlz
title: CCDC 2501222: Experimental Crystal Structure Determination

description: Related Article: Benjamin Pitz, Sergi Danés, Bernd Morgenstern, André Schäfer|2026|Chem.Commun.|62|2204|doi:10.1039/d5cc06448a
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.cc2pyqm0
title: CCDC 2501223: Experimental Crystal Structure Determination

description: Related Article: Benjamin Pitz, Sergi Danés, Bernd Morgenstern, André Schäfer|2026|Chem.Commun.|62|2204|doi:10.1039/d5cc06448a
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.cc2pyqp2
title: CCDC 2501225: Experimental Crystal Structure Determination

description: Related Article: Benjamin Pitz, Sergi Danés, Bernd Morgenstern, André Schäfer|2026|Chem.Commun.|62|2204|doi:10.1039/d5cc06448a
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.cc2pyqq3
title: CCDC 2501226: Experimental Crystal Structure Determination

description: Related Article: Benjamin Pitz, Sergi Danés, Bernd Morgenstern, André Schäfer|2026|Chem.Commun.|62|2204|doi:10.1039/d5cc06448a
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.cc2pyywh
title: CCDC 2501448: Experimental Crystal Structure Determination

description: Related Article: Michael N. Pillay, Min-Chi Li, Yu-Rong Ni, Wei-Jung Yen, Tzu-Hao Chiu, Xiaoping Wang, Jean-Yves Saillard, C. W. Liu|2025|Dalton Trans.|55|1637|doi:10.1039/d5dt02816g
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: 10.25505/fiz.icsd.cc2pzjfn
title: CSD 2501992: Experimental Crystal Structure Determination

description: Related Article: Jia Wang, Wenbin Zhang, Xiangcong Ma, Fangfang Zhang, Hong Du, Shujuan Han|2026|Dalton Trans.|55|1659|doi:10.1039/d5dt02815a
description: Related Article: jia wang|2025|ICSD Communication|||
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2g7zrg
title: CCDC 2271796: Experimental Crystal Structure Determination

description: Related Article: Mahabarathi Subramaniyan, Sathish Thanigachalam, Shivabasayya V. Salimath, Selva Kumar Ramasamy, Kevin George, Madhvesh Pathak|2026|Dalton Trans.|55|1806|doi:10.1039/d5dt02277k
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.cc2pbhk3
title: CCDC 2482745: Experimental Crystal Structure Determination

description: Related Article: Manoj Kumar Kumawat, Shobhit Mathur, Sharan Shanmuga Vuppaladadium Rathnam, Jitender Jangra, Roy Anindya, Somnath Maji|2025|Dalton Trans.|55|1680|doi:10.1039/d5dt02281a
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.cc2lq9l7
title: CCDC 2404719: Experimental Crystal Structure Determination

description: Related Article: Matteo Alberti, Greta Rossi, Djihed Boucherabine, Fausto Cargnoni, Mario Italo Trioni, Giulia Taini, Dominika Zakutna, Arianna Gentilin, Luka Đorđević, Andrea Sartorel, Alessandro Caselli|2025|Dalton Trans.|55|1716|doi:10.1039/d5dt02534f
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.cc2pjq43
title: CCDC 2488715: Experimental Crystal Structure Determination

description: Related Article: Jonay González, Vinicius K. Fagundes, Moya A. Hay, Elena Dallerba, Massimiliano Massi, Christopher R. Hall, Marcus J. Giansiracusa, Colette Boskovic|2025|Dalton Trans.|55|1792|doi:10.1039/d5dt02364e
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.18391499
title: Dataset used for paper "Enhancing the radiation- and oxidation-resistance of Cr-based coatings via structure regulation and composition optimization" (https://doi.org/10.1016/j.jmst.2024.08.051)
DOI: 10.5517/ccdc.csd.cc2pjq65
title: CCDC 2488717: Experimental Crystal Structure Determination

description: Related Article: Jonay González, Vinicius K. Fagundes, Moya A. Hay, Elena Dallerba, Massimiliano Massi, Christopher R. Hall, Marcus J. Giansiracusa, Colette Boskovic|2025|Dalton Trans.|55|1792|doi:10.1039/d5dt02364e
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: 10.5061/dryad.vr4bh74
title: Data from: Integrated modeling predicts shifts in waterbird population dynamics under climate change

description: Climate change has been identified as one of the most important drivers of
 wildlife population dynamics. The in-depth knowledge of the complex
 relationships between climate and population sizes through density
 dependent demographic processes is important for understanding and
 predicting population shifts under climate change, which requires
 integrated population models (IPMs) that unify the analyses of demography
 and abundance data. In this study we developed an IPM based on Gaussian
 approximation to dynamic N-mixture models for large scale population data.
 We then analyzed four decades (1972-2013) of Mallard (Anas platyrhynchos)
 breeding population survey, band-recovery, and climate data covering a
 large spatial extent from North American prairies through boreal habitat
 to Alaska. We aimed to test the hypothesis that climate change will cause
 shifts in population dynamics if climatic effects on demographic
 parameters that have substantial contribution to population growth vary
 spatially. More specifically, we examined the spatial variation of
 climatic effects on density dependent population demography, identified
 the key demographic parameters that are influential to population growth,
 and forecasted population responses to climate change. Our results
 revealed that recruitment, which explained more variance of population
 growth than survival, was sensitive to the temporal variation of
 precipitation in the southern portion of the study area but not in the
 north. Survival, by contrast, was insensitive to climatic variation. We
 then forecasted a decrease in Mallard breeding population density in the
 south and an increase in the northwestern portion of the study area,
 indicating potential shifts in population dynamics under future climate
 change. Our results implied that different strategies need to be
 considered across regions to conserve waterfowl populations in the face of
 climate change. Our modelling approach can be adapted for other species
 and thus has wide application to understanding and predicting population
 dynamics in the presence of global change.
description: Mallard
 dataThis data set includes
 Mallard band-recovery data (marr), design-based population estimates and
 their standard errors, precipitation and temperature data, as well as the
 Bird Conservation Region (BCR) each area belongs to.data.RData
DOI: 10.5281/zenodo.18391498
title: Dataset used for paper "Enhancing the radiation- and oxidation-resistance of Cr-based coatings via structure regulation and composition optimization" (https://doi.org/10.1016/j.jmst.2024.08.051)
DOI: 10.5517/ccdc.csd.cc2pjq76
title: CCDC 2488718: Experimental Crystal Structure Determination

description: Related Article: Jonay González, Vinicius K. Fagundes, Moya A. Hay, Elena Dallerba, Massimiliano Massi, Christopher R. Hall, Marcus J. Giansiracusa, Colette Boskovic|2025|Dalton Trans.|55|1792|doi:10.1039/d5dt02364e
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.cc2pjq87
title: CCDC 2488719: Experimental Crystal Structure Determination

description: Related Article: Jonay González, Vinicius K. Fagundes, Moya A. Hay, Elena Dallerba, Massimiliano Massi, Christopher R. Hall, Marcus J. Giansiracusa, Colette Boskovic|2025|Dalton Trans.|55|1792|doi:10.1039/d5dt02364e
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.cc2pjq98
title: CCDC 2488720: Experimental Crystal Structure Determination

description: Related Article: Jonay González, Vinicius K. Fagundes, Moya A. Hay, Elena Dallerba, Massimiliano Massi, Christopher R. Hall, Marcus J. Giansiracusa, Colette Boskovic|2025|Dalton Trans.|55|1792|doi:10.1039/d5dt02364e
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.cc2pjqb9
title: CCDC 2488721: Experimental Crystal Structure Determination

description: Related Article: Jonay González, Vinicius K. Fagundes, Moya A. Hay, Elena Dallerba, Massimiliano Massi, Christopher R. Hall, Marcus J. Giansiracusa, Colette Boskovic|2025|Dalton Trans.|55|1792|doi:10.1039/d5dt02364e
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.cc2pjqcb
title: CCDC 2488722: Experimental Crystal Structure Determination

description: Related Article: Jonay González, Vinicius K. Fagundes, Moya A. Hay, Elena Dallerba, Massimiliano Massi, Christopher R. Hall, Marcus J. Giansiracusa, Colette Boskovic|2025|Dalton Trans.|55|1792|doi:10.1039/d5dt02364e
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.cc2pjqdc
title: CCDC 2488723: Experimental Crystal Structure Determination

description: Related Article: Jonay González, Vinicius K. Fagundes, Moya A. Hay, Elena Dallerba, Massimiliano Massi, Christopher R. Hall, Marcus J. Giansiracusa, Colette Boskovic|2025|Dalton Trans.|55|1792|doi:10.1039/d5dt02364e
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: 10.5061/dryad.sd3d07m
title: Data from: Litter movement pathways across terrestrial-aquatic ecosystem boundaries affect litter colonization and decomposition in streams

description: 1. Streams and their riparian zones are connected by spatial flows of
 organic matter, and constitute a model example of a meta-ecosystem. Fluxes
 of leaf litter from the riparian zone to the stream are a major energy
 source in stream food webs. Leaf litter can enter the stream vertically,
 falling from the tree and into the stream, or laterally, washing into the
 stream after a period of exposure in the terrestrial ecosystem. The latter
 can contribute up to 23% to the total amount of litterfall entering
 streams. 2. To determine if decomposition, microbial and invertebrate
 colonization of lateral litter inputs are similar to those of vertical
 inputs, we assessed leaf decomposition of alder, poplar and a 1:1 mixture
 of the two species in three scenarios across a gradient of
 terrestrial:aquatic exposures. 3. Overall decomposition was explained by a
 negative exponential model and decreased with the increase in the period
 of terrestrial exposure in all cases. Invertebrate colonization tended to
 decrease with the increase in the period of terrestrial exposure, but
 total invertebrate richness and biomass were more affected by litter type
 than by the exposure scenario, attaining higher values in the mixture than
 in the species alone. 4. As the length of exposure in the terrestrial
 ecosystem increased, in-stream decomposition rates of leaf litter
 decreased. Comparing leaf species treatments, alder decomposition rates
 were faster than poplar and the alder-poplar mixture. 5. The richness of
 the aquatic hyphomycete community colonizing leaf litter after submergence
 decreased and sporulation rates were strongly inhibited with an increasing
 terrestrial exposure period. While fungi colonizing leaf litter exposed
 only in the stream invested in rapid reproduction, fungi colonizing litter
 with prior terrestrial exposure built up more biomass. 6. We conclude that
 the path taken by the litter fluxes has important effects on the
 functioning of the receiving ecosystem. Studies relying only on the fate
 of freshly abscissed leaf litter (vertical inputs) may not present a
 complete picture of the decomposition process in streams and may have been
 overestimating the overall richness and reproductive activity of the
 aquatic hyphomycetes colonizing leaf litter.
description: Measurements of litter
 dry mass remaining, fungal and invertebrate colonizationData collected in the
 fielddataset.ods
DOI: 10.5517/ccdc.csd.cc2pjqfd
title: CCDC 2488724: Experimental Crystal Structure Determination

description: Related Article: Jonay González, Vinicius K. Fagundes, Moya A. Hay, Elena Dallerba, Massimiliano Massi, Christopher R. Hall, Marcus J. Giansiracusa, Colette Boskovic|2025|Dalton Trans.|55|1792|doi:10.1039/d5dt02364e
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.cc2pjqgf
title: CCDC 2488725: Experimental Crystal Structure Determination

description: Related Article: Jonay González, Vinicius K. Fagundes, Moya A. Hay, Elena Dallerba, Massimiliano Massi, Christopher R. Hall, Marcus J. Giansiracusa, Colette Boskovic|2025|Dalton Trans.|55|1792|doi:10.1039/d5dt02364e
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.cc2pjqhg
title: CCDC 2488726: Experimental Crystal Structure Determination

description: Related Article: Jonay González, Vinicius K. Fagundes, Moya A. Hay, Elena Dallerba, Massimiliano Massi, Christopher R. Hall, Marcus J. Giansiracusa, Colette Boskovic|2025|Dalton Trans.|55|1792|doi:10.1039/d5dt02364e
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.cc2pjqjh
title: CCDC 2488727: Experimental Crystal Structure Determination

description: Related Article: Jonay González, Vinicius K. Fagundes, Moya A. Hay, Elena Dallerba, Massimiliano Massi, Christopher R. Hall, Marcus J. Giansiracusa, Colette Boskovic|2025|Dalton Trans.|55|1792|doi:10.1039/d5dt02364e
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.cc2pjqkj
title: CCDC 2488728: Experimental Crystal Structure Determination

description: Related Article: Jonay González, Vinicius K. Fagundes, Moya A. Hay, Elena Dallerba, Massimiliano Massi, Christopher R. Hall, Marcus J. Giansiracusa, Colette Boskovic|2025|Dalton Trans.|55|1792|doi:10.1039/d5dt02364e
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.cc2qcgwg
title: CCDC 2513476: Experimental Crystal Structure Determination

description: Related Article: Jonay González, Vinicius K. Fagundes, Moya A. Hay, Elena Dallerba, Massimiliano Massi, Christopher R. Hall, Marcus J. Giansiracusa, Colette Boskovic|2025|Dalton Trans.|55|1792|doi:10.1039/d5dt02364e
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: 10.5061/dryad.1sm06sp
title: Data from: A meta-analysis of plant interaction networks reveals competitive hierarchies as well as facilitation and intransitivity

description: The extent to which competitive interactions and niche differentiation
 structure communities has been highly controversial. To quantify evidence
 for key features of plant community structure, I recharacterized published
 data from interaction experiments as networks of competitive and
 facilitative interactions. I measured the network structure of 31 woody
 and herbaceous communities, including the intensity, distribution, and
 diversity of interactions at the species-pair and community level to
 determine the generality of competition, winner-loser relationships, and
 unequal interaction allocation. I developed novel methodology using
 meta-analysis to incorporate interaction uncertainty into estimates of
 structural metrics among independent networks. Plant communities were
 competitive, but intraspecific interactions were sometimes more intense
 than interspecific interactions. On the whole, interactions were
 imbalanced and communities were transitive. However, facilitation,
 balanced interactions, and intransitivity were common in individual
 communities. Synthesizing network metrics using meta-analysis is an
 original approach with which to generalize community structure in a
 systematic way.
description: Meta-analysis database of plant interaction networks
 Data file lists the studies from which the 31 networks were
 extracted; the authors, journal, and title of each study are provided.
 Characteristics of each study are listed, including the location (country,
 latitude/longitude) and the design (e.g., experimental setting, replicate
 number, duration). Characteristics of each plant community are also
 described, including the identities of each species and several of their
 characteristics (e.g., invasive/native, C3/C4), as well as the mean and
 standard error of the measured plant performance metric. Last, the
 networks themselves are listed as a matrix of relative interaction indices
 for each network. The README file describes each column in the data file
 in more detail.
 Data_PlantInteractionNetworks.csv