cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5061/dryad.h44j0zppd
title: Data from: Integrating isotopic and nutritional niches reveals multiple dimensions of individual diet specialisation in a marine apex predator

description: Dietary specializations are important determinants of ecological
 structure, particularly in species with high per-capita trophic influence
 like marine apex predators. These species are, however, among the most
 challenging in which to establish spatiotemporally integrated diets. We
 introduce a novel integration of stable isotopes with a multidimensional
 nutritional niche framework that addresses the challenges of establishing
 spatiotemporally integrated nutritional niches in wild populations, and
 apply the framework to explore individual diet specialization in a marine
 apex predator, the white shark (Carcharodon carcharias). Sequential tooth
 files were sampled from juvenile white sharks to establish individual
 isotopic (δ-space; δ13C, δ15N, δ34S) niche specialization. Bayesian mixing
 models were then used to reveal individual-level prey (p-space)
 specialization, and further combined with nutritional geometry models to
 quantify the nutritional (N-space) dimensions of individual specialization
 and their relationships to prey use. Isotopic and mixing model analyses
 indicated juvenile white sharks as individual specialists within a
 broader, generalist, population niche. Individual sharks differed in their
 consumption of several important mesopredator species, which suggested
 among-individual variance in trophic roles in either pelagic or benthic
 food webs. However, variation in nutrient intakes was small and not
 consistently correlated with differences in prey use, suggesting white
 sharks as nutritional specialists and that individuals could use
 functionally and nutritionally different prey as complementary means to
 achieve a common nutritional goal. We identify how degrees of individual
 specialisation can differ between niche spaces (δ-, p- or N-space), the
 physiological and ecological implications of this, and argue that
 integrating nutrition can provide stronger, mechanistic links between diet
 specialisation and its intrinsic (fitness/performance) and extrinsic
 (ecological) outcomes. Our time-integrated framework is adaptable for
 examining the nutritional consequences and drivers of food use variation
 at the individual, population or species level.
description: Isotope ratio mass spectrometry was used to measure carbon,
 nitrogen and sulfur stable isotope signatures in collagen extracted from
 rows of teeth of white sharks (<em>Carcharodon</em>
 <em>carcharias</em>), and in tissues (muscle, blubber) of
 their prey species (teleosts, cephalopods, sharks, rays, whales and
 dolphins). Tooth collagen was extracted via demineralization of whole
 teeth using ethylenediaminetetraacetic acid. Isotopic signatures of prey
 tissues (muscle, blubber) were measured on bulk samples (not lipid
 extracted). All samples were collected off central New South Wales,
 Australia, between 2010 and 2020.
description: Microsoft Word, Microsoft Excel, Apache OpenOffice.
DOI: 10.5517/ccdc.csd.cc2hf3vx
title: CCDC 2306519: Experimental Crystal Structure Determination

description: Related Article: Monika Trzebiatowska, Marek Gusowski, Tamara J. Bednarchuk, Jan Baran, Marek Drozd, Agnieszka Ciżman|2026|Materials and Design|262||doi:10.1016/j.matdes.2026.115436
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.cc2hf3wy
title: CCDC 2306520: Experimental Crystal Structure Determination

description: Related Article: Monika Trzebiatowska, Marek Gusowski, Tamara J. Bednarchuk, Jan Baran, Marek Drozd, Agnieszka Ciżman|2026|Materials and Design|262||doi:10.1016/j.matdes.2026.115436
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.cc2hf3xz
title: CCDC 2306521: Experimental Crystal Structure Determination

description: Related Article: Monika Trzebiatowska, Marek Gusowski, Tamara J. Bednarchuk, Jan Baran, Marek Drozd, Agnieszka Ciżman|2026|Materials and Design|262||doi:10.1016/j.matdes.2026.115436
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.cc2hf3y0
title: CCDC 2306522: Experimental Crystal Structure Determination

description: Related Article: Monika Trzebiatowska, Marek Gusowski, Tamara J. Bednarchuk, Jan Baran, Marek Drozd, Agnieszka Ciżman|2026|Materials and Design|262||doi:10.1016/j.matdes.2026.115436
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.cc2hf3z1
title: CCDC 2306523: Experimental Crystal Structure Determination

description: Related Article: Monika Trzebiatowska, Marek Gusowski, Tamara J. Bednarchuk, Jan Baran, Marek Drozd, Agnieszka Ciżman|2026|Materials and Design|262||doi:10.1016/j.matdes.2026.115436
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.cc2hf403
title: CCDC 2306524: Experimental Crystal Structure Determination

description: Related Article: Monika Trzebiatowska, Marek Gusowski, Tamara J. Bednarchuk, Jan Baran, Marek Drozd, Agnieszka Ciżman|2026|Materials and Design|262||doi:10.1016/j.matdes.2026.115436
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.b2rbnzsk1
title: Distribution dataset of the 140 Chinese mountain floras and dated phylogenetic tree

description: We compiled checklists of species of angiosperm for 140 Chinese
 mountain flora from previously published, comprehensive species
 checklists, white papers, and research papers. From our initial
 checklists, we excluded all nonnative species, and we reconciled taxonomy
 to the Leipzig Catalogue of Vascular Plants (LCVP), with infraspecific
 taxa combined under their respective species. Following taxonomic
 reconciliation and categorization within higher ranks, our dataset
 comprised a total of 17,576 species in 2,585 genera belonging to 251
 families and 56 orders. In addition, six dated phylogenetic trees by the
 V.PhyloMaker2 approach are provided.  
description: Mountain flora data was generation based on previously published
 flora data by manual input. Phylogenetic reconstruction was performed in R
 (http://www.r-project.org/) by the package ‘V.PhyloMaker2’ . 
description: # Distribution dataset of the 140 Chinese mountain floras and dated
 phylogenetic tree This dataset includes seven files: 1. distribution data
 of 140 mountain floras.csv This is the distribution data comprising 17,576
 angiosperm species representing 140 Chinese mountain floras. 2.
 dated_phylogeny_tree.tre This file is a .tre file included 17,576 species.
 3. Danxia-3146.tre This file is a .tre file included 3146 species which
 occurs in Danxia landform mountain. 4. Desert-4077.tre This file is a .tre
 file included 4077 species which occurs in desert landform mountain. 5.
 Granitic-13005.tre This file is a .tre file included 13005 species which
 occurs in granitic landform mountain. 6. Karst_Granitic-7423.tre This file
 is a .tre file included 7423 species which occurs in karst_granitic
 landform mountain. 7. Karst-6941.tre This file is a .tre file included
 6941 species which occurs in karst landform mountain.
DOI: 10.5517/ccdc.csd.cc2hf5gl
title: CCDC 2306569: Experimental Crystal Structure Determination

description: Related Article: Romina Ocampo, Sandra Mandolesi, Fernando Lorenzo, Diego F. Rodríguez, Fabián Santana-Romo, Antonio Galdamez, Flavia C. Zacconi, Robert A. Burrow, Norma D’Accorso
|2024|Synthesis|56|1429|doi:10.1055/a-2231-4922
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.cc2l4hbl
title: CCDC 2387599: Experimental Crystal Structure Determination

description: Related Article: Fei Wang, Ruitong Zhang, Xiangyu Chen, Yingqi Han, Zongchang Han, Yunchen Jiang, Yaxing Wu, Boyu Shi, Chao Chen
|2025|Angew.Chem.,Int.Ed.|64|e202507951|doi:10.1002/anie.202507951
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.cc2mphtn
title: CCDC 2433742: Experimental Crystal Structure Determination

description: Related Article: Justine V. Schwarte, Serhii Vasylevskyi, Christophe Lamy, Salves Cornelis, Ora Hazak, Katharina M. Fromm|2025|Chem.-Eur.J.|31||doi:10.1002/chem.202501360
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.cc2p6f0c
title: CCDC 2478822: Experimental Crystal Structure Determination

description: Related Article: Xiang Li, Jiangyu Zhu, Jie Tang, Kai Peng, Lili Ma|2025|Chem. Sel.|10|e04905|doi:10.1002/slct.202504905
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.cc2p7w72
title: CCDC 2480224: Experimental Crystal Structure Determination

description: Related Article: Souvik Guha, Rémy Mariaux, Aurelien Crochet, Ludovic Gremaud|2026|ACS Sustain.Chem.Eng.|14|437|doi:10.1021/acssuschemeng.5c10214
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.3n5tb2rmf
title: Spatio-temporal variation in deep soil water use patterns of overstory and understory layers in subtropical plantations predict community assembly

description: 1. Deep soil water utilization allows plants to cope with drought stress.
 However, little is known about the roles of the understory layers in
 driving spatio-temporal variations of deep soil water in forests and how
 the patterns of deep soil water use among life forms contribute to
 community assembly processes. 2. We assessed the spatio-temporal patterns
 and determinants of deep water utilization of tree, shrub and herb layers
 in subtropical coniferous plantations and investigated associations
 between deep water use parameters and dominance and richness of understory
 vegetation. 3. We found that the understory layer had a higher reliance on
 deep soil water in the dry season, a larger seasonal plasticity of deep
 soil water uptake, but lower spatial variability in deep soil water
 utilization than the tree layer. We showed that greater reliance of the
 tree layer on deep soil water was associated with decreased shrub layer
 diversity, whereas greater reliance of the shrub layer on deep water was
 associated with increased herb layer diversity. 4. Synthesis. Our results
 highlight the roles of understory layers in driving the temporal dynamics
 of deep soil water in forests and improve our understanding of how deep
 soil water use patterns amongst life forms shape community assembly in
 forests.
description: Please see the README
 document
description: Please see the README
 document
DOI: 10.5517/ccdc.csd.cc2p7w83
title: CCDC 2480225: Experimental Crystal Structure Determination

description: Related Article: Souvik Guha, Rémy Mariaux, Aurelien Crochet, Ludovic Gremaud|2026|ACS Sustain.Chem.Eng.|14|437|doi:10.1021/acssuschemeng.5c10214
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.cc2p7w94
title: CCDC 2480226: Experimental Crystal Structure Determination

description: Related Article: Souvik Guha, Rémy Mariaux, Aurelien Crochet, Ludovic Gremaud|2026|ACS Sustain.Chem.Eng.|14|437|doi:10.1021/acssuschemeng.5c10214
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.cc2p8wnj
title: CCDC 2481198: Experimental Crystal Structure Determination

description: Related Article: Pascal L. Jurzick, Lukas Brüning, Björn Winkler, YiXu Wang, Richard Dronskowski, Elena Bykova, Dominik Spahr, Michael Hanfland, Björn Wehinger, Nico Giordano, Maxim Bykov|2026|J.Am.Chem.Soc.|||doi:10.1021/jacs.5c16752
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.cc2p8wpk
title: CCDC 2481199: Experimental Crystal Structure Determination

description: Related Article: Pascal L. Jurzick, Lukas Brüning, Björn Winkler, YiXu Wang, Richard Dronskowski, Elena Bykova, Dominik Spahr, Michael Hanfland, Björn Wehinger, Nico Giordano, Maxim Bykov|2026|J.Am.Chem.Soc.|||doi:10.1021/jacs.5c16752
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.cc2p8wql
title: CCDC 2481200: Experimental Crystal Structure Determination

description: Related Article: Pascal L. Jurzick, Lukas Brüning, Björn Winkler, YiXu Wang, Richard Dronskowski, Elena Bykova, Dominik Spahr, Michael Hanfland, Björn Wehinger, Nico Giordano, Maxim Bykov|2026|J.Am.Chem.Soc.|||doi:10.1021/jacs.5c16752
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.cc2p999m
title: CCDC 2481590: Experimental Crystal Structure Determination

description: Related Article: Yi-Na Li, Xin Zhong, Yunlong Wu, Yun-Fang Huo, Ya-Li Liu, Jun Wang, Yang-Tian Yan|2026|J.Mol.Struct.|1358||doi:10.1016/j.molstruc.2026.145324
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.cc2phdf1
title: CCDC 2487453: Experimental Crystal Structure Determination

description: Related Article: Jocelyn Pradegan, Aurélien Crochet, Katharina M. Fromm|2026|Helv.Chim.Acta|||doi:10.1002/hlca.202500175
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.cc2pjdwj
title: CCDC 2488428: Experimental Crystal Structure Determination

description: Related Article: Jing Wang, Chao Zhang, Ming-Rui Zhang, Yun-Huan Xue, Zi-Xin You, Ming-Dong Zhou|2025|Inorg.Chem.Front.|||doi:10.1039/d5qi02459e
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.cc2pjdxk
title: CCDC 2488429: Experimental Crystal Structure Determination

description: Related Article: Jing Wang, Chao Zhang, Ming-Rui Zhang, Yun-Huan Xue, Zi-Xin You, Ming-Dong Zhou|2025|Inorg.Chem.Front.|||doi:10.1039/d5qi02459e
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.cfxpnvx8r
title: Magnitude-duration relationships of physiological sensitivity and environmental exposure improve climate change vulnerability assessments

description: Integrating thermal physiology with environmental temperature is essential
 to understanding distributions of species and vulnerability to climate
 change. Warming tolerance—the difference between an organism’s maximum
 thermal tolerance (Tmax) and maximum habitat temperature (Thab)—is
 frequently used to integrate organismal sensitivity and environmental
 exposure. Traditionally, applications of warming tolerance define Tmax and
 Thab as invariable magnitudes, yet tolerance magnitude depends on exposure
 duration and diel temperature cycles expose organisms to a range of
 temperature magnitudes and durations. How traditional (i.e., acute)
 estimates of warming tolerance compare to estimates from prolonged
 exposures remains poorly understood. In this study, magnitude-duration
 curves for tolerances of one cold-water, two cool-water, and one
 warm-water species of freshwater fish were compiled from the literature
 and compared to magnitude-duration exposures from 66 streams across the
 eastern United States. Warming tolerances were estimated for exposure
 durations spanning 0.01 to 24 hours. Current acute (0.01 hours) warming
 tolerances ranged from median 6.30°C for the cold-water species to 9.68°C
 for the warm-water species. The lowest warming tolerances corresponded to
 prolonged exposures lasting median 3.85 to 5.30 hours among species and
 were 2.51 to 4.38°C lower than acute estimates. Although acute estimates
 remained positive in historically occupied and unoccupied streams (6.30°C
 versus 2.33°C), estimates based on prolonged exposure were positive at
 occupied streams of the cold-water species but transitioned to negative in
 unoccupied streams (2.19°C versus -1.12°C). Acute warming tolerances for
 the cold-water species also remained positive under future climate (6.29
 to 4.23°C) but approached zero at prolonged durations (2.19 to 0.09°C) and
 transitioned to negative for 47.2% of streams. Results demonstrate that
 acute measures of Tmax and Thab overestimate warming tolerances and
 therefore underestimate climate change vulnerability. Integrating
 magnitude-duration relationships into warming tolerance estimates can
 elucidate physiological mechanisms underlying species distributions and
 can improve accuracy of climate change vulnerability assessments.
description: See README
description: See README
DOI: 10.5517/ccdc.csd.cc2pk4w9
title: CCDC 2489141: Experimental Crystal Structure Determination

description: Related Article: Wen-Lin Zou, Zhi Guan, Yan-Hong He|2026|J.Catalysis|455||doi:10.1016/j.jcat.2026.116694
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.cc2q1712
title: CCDC 2503623: Experimental Crystal Structure Determination

description: Related Article: Ruwandhi Jayasundara, Lakshani W. Kulathungage, Benjamin J. Baillie, Cassandra L. Ward, Richard L. Lord, Stanislav Groysman|2026|Inorg.Chem.|||doi:10.1021/acs.inorgchem.5c05470
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.