cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5061/dryad.wpzgmsbqx
title: Steady-state time series and code

description: Pressure-flow travelling waves are a key topic for understanding arterial
 haemodynamics. However, wave trasmission and reflection processes induced
 by body posture changes have not been thoroughly explored yet. Current
 in-vivo research has shown that the amount of wave reflection detected at
 the central level (ascending aorta, aortic arch) decreases during tilting
 to the upright position, despite the widely-proved stiffening of the
 cardiovascular system (CVS). Moreover, it is not known whether the
 optimized configuration of the arterial system typical of the supine
 condition - i.e., enabled propagation of direct waves vs. trapping of
 reflected waves, protecting the heart - is preserved or not after posture
 changes.  To shed light on these aspects, we propose a multiscale
 modelling approach to inquire into posture-induced arterial wave dynamics
 elicited by simulated head-up tilting. In spite of remarkable remodelling
 of the human vasculature following posture changes, our analysis shows
 that: (i) vessels lumens at arterial bifurcations remain well matched in
 the forward direction; (ii) the reduced wave reflection observed at the
 central level seems to be caused by backward propagation of weakened
 pressure waves produced by cerebral autoregulation; and (iii) backward
 wave trapping is preserved upon orthostatic stress.
description: Reported data are steady-state supine and upright standing (i.e.
 90° head-up posture) time series of primary investigated hemodynamic
 variables over a single heartbeat. These have been obtained via the
 mathematical model described in the main manuscript. The MatLab files
 enclosed in this repository reports the model's routine of
 computation and function calls performed at each time step.
description: MatLab
DOI: 10.15468/dl.82xx6v
title: Occurrence Download

description: A dataset containing 610 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Colotis etrida"
 ]
}

 The dataset includes 610 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003298-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5061/dryad.tht76hf2s
title: Disease management during bloom affects the floral microbiome but not pollination in a mass-flowering crop

description: Flowering crops are heavily managed during bloom to both promote
 pollination and prevent disease. Disease management practices can alter
 the floral microbiome, including pathogens and non-target microbes.
 However, whether agrochemical presence or altered microbiome composition
 affect pollinator foraging and pollination services is unclear. We
 assessed the effects of orchard management tactics and landscape context
 on the flower microbiome in almond, Prunus dulcis. Fourteen orchards (5
 conventional, 4 organic, 5 conventional with habitat augmentation) were
 sampled at early and peak bloom to characterize bacterial and fungal
 communities associated with floral tissues. The surveys were complemented
 by an artificial flower experiment to assess the effects of
 fungicides and microbes on honey bee foraging. Finally, a field trial was
 conducted to test the effects of fungicides and microbes on
 pollination.  As bloom progressed, bacterial and fungal abundance
 and diversity increased across all floral tissue types and management
 strategies. The magnitude by which microbial abundance and diversity were
 affected varied, with proximity to apiaries and orchard management having
 notable effects on bacteria and fungi, respectively. Experiments revealed
 that fungicides reduced nectar removal by honey bees; however, neither
 fungicide nor microbe treatments affected pollination, as measured through
 pollen tube initiation and growth.   Synthesis and
 applications: Our results reveal that microbiota associated with flowers
 of a pollinator-dependent crop are temporally dynamic and sensitive to
 management practices. However, pollination services in almonds may be
 resilient to both agrochemical disturbance and microbial augmentation of
 flowers, the latter of which may become more prominent as microbial
 solutions to disease management are embraced in agroecosystems.
DOI: 10.5061/dryad.79cnp5hzr
title: Data for: Soil cadmium stress-mediated sexual difference in phyllosphere microbiome and associated pathogen resistance of poplars

description: Phyllosphere associated microorganisms play a crucial role in protecting
 plants from diseases, while their composition and diversity are strongly
 influenced by heavy metal contaminants. As dioecious plants exhibited
 sexual dimorphism in metal accumulation and tolerance between male and
 female individuals, in this study we used male and female full-sibs of
 Populus deltoides to investigate whether the two plant sexes will present
 sexual differences in phyllosphere microbiome structure and associated
 pathogen resistance against a leaf pathogenic fungus after soil cadmium
 (Cd) exposure. We found that Cd-treated male plants grew better and
 accumulated more leaf Cd than females. Cd stress reduced leaf lesion areas
 of both plant sexes after leaf pathogen infection, whereas male plants
 exhibited better resistance than females. More importantly, Cd exposure
 differentially altered the structure and function of the phyllosphere
 microbiome of male and female plants, with more abundant ecologically
 beneficial microbes but decreased pathogenic fungal taxa harbored in male
 phyllosphere. Further in vitro toxicity tests suggested that such sexual
 difference in pathogen resistance between the two plant sexes could
 attribute to direct Cd toxicity and indirect shifts in phyllosphere
 microbiome. This study provides implication for understanding the
 underlying mechanism of heavy metals involved in plant-pathogen
 interactions.
description: Data can be accessed using Office and Excel.
DOI: 10.5061/dryad.mkkwh713s
title: Widespread variation in functional trait-vital rate relationships in tropical tree seedlings across a precipitation and soil phosphorus gradient

description: A fundamental assumption of functional ecology is that functional traits
 are related to interspecific variation in performance. However, the
 relationship between functional traits and performance is often weak or
 uncertain, especially for plants. A potential explanation for this
 inconsistency is that the relationship between functional traits and vital
 rates (e.g., growth and mortality) is dependent on local environmental
 conditions, which would lead to variation in trait-rate relationships
 across environmental gradients. In this study, we examined trait-rate
 relationships for six functional traits (seed mass, wood density, maximum
 height, leaf mass per area, leaf area, and leaf dry matter content) using
 long-term data on seedling growth and survival of woody plant species from
 eight forest sites spanning a pronounced precipitation and soil phosphorus
 gradient in central Panama. For all traits considered except for leaf mass
 per area-mortality, leaf mass per area-growth, and leaf area-mortality
 relationships, we found widespread variation in the strength of trait-rate
 relationships across sites. For some traits, trait-rate relationships
 showed no overall trend but displayed wide site-to-site variation. In a
 small subset of cases, variation in trait-rate relationships was explained
 by soil phosphorus availability. Our results demonstrate that
 environmental gradients have the potential to influence how functional
 traits are related to growth and mortality rates, though much variation
 remains to be explained. Accounting for site-to-site variation may help
 resolve a fundamental issue in trait-based ecology – that traits are often
 weakly related to performance – and improve the utility of functional
 traits for explaining key ecological and evolutionary processes.
DOI: 10.15468/dl.cntffr
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "Geometry POLYGON((97 21,106 21,106 29,97 29,97 21))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Panax notoginseng"
 ]
}

 The dataset includes 10 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003299-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5061/dryad.n2z34tn0q
title: Strength-mass scaling law governs mass distribution inside honey bee swarms

description: To survive during colony reproduction, bees create dense clusters of
 thousands of suspended individuals. How does this swarm, which is orders
 of magnitude larger than the size of an individual, maintain mechanical
 stability? We hypothesize that the internal structure in the bulk of the
 swarm, about which there is little prior information, plays a key role in
 mechanical stability. Here, we provide the first-ever 3D reconstructions
 of the positions of the bees in the bulk of the swarm using x-ray computed
 tomography. We find that the mass of bees in a layer decreases with
 distance from the attachment surface. By quantifying the distribution of
 bees within swarms varying in size (made up of 4000–10,000 bees), we find
 that the same power law governs the smallest and largest swarms, with the
 weight supported by each layer scaling with the mass of each layer to the
 ≈1.5 power. This arrangement ensures that each layer exerts the same
 fraction of its total strength, and on average a bee supports a lower
 weight than its maximum grip strength. This illustrates the extension of
 the scaling law relating weight to strength of single organisms to the
 weight distribution within a superorganism made up of thousands of
 individuals.
DOI: 10.6071/m3xd43
title: First-principles calculations on Aurivillius oxides SrBi2(Ta,Nb)2O9

description: This dataset contains the optimized structures from our density functional
 theory calculations presented in our manuscript "Ferroelectric
 switching pathways and domain structure of SrBi2(Nb,Ta)2O9 from
 first-principles." Calculation input files also are provided.
description: This computational data was generated using the Vienna ab initio
 Simulation Package (VASP). This dataset contains optimized structures (in
 VASP format) for the polar ground state and related metastable structural
 phases. Intermediate structures accessed along ferroelectric switching
 paths which were generated by nudged elastic band calculations also are
 included. The VASP INCAR files for our calculations are
 provided.
description: All provided files can be viewed with a text editor. The
 structure (CONTCAR) files also can be opend directly in VESTA.
DOI: 10.5061/dryad.hmgqnk9mc
title: Phylogenomic analysis of the hemp family (Cannabaceae) reveals deep cyto-nuclear discordance and provides new insights into generic relationships

description: Cannabaceae are a relatively small family of angiosperms, but they include
 several species of huge economic and cultural significance: marijuana or
 hemp (Cannabis sativa) and hops (Humulus lupulus). Previous phylogenetic
 studies clarified most deep relationships in Cannabaceae, but
 relationships remain ambiguous among several major lineages. Here, we
 sampled 83 species representing all genera of Cannabaceae and utilized a
 new dataset of 90 nuclear genes and 82 chloroplast loci from Hyb-Seq to
 investigate the phylogenomics of Cannabaceae. Nuclear phylogenetic
 analyses revealed a robust and consistent backbone for Cannabaceae. We
 observed nuclear gene-tree conflict at several deep nodes in inferred
 species trees, also cyto-nuclear discordance concerning the relationship
 between Gironniera and Lozanella and the relationships among Trema s.l.
 (including Parasponia), Cannabis + Humulus, and Chaetachme + Pteroceltis.
 Coalescent simulations and network analyses suggest that observed deep
 cyto-nuclear discordances likeliest stem from incomplete lineage sorting
 (ILS); nuclear gene-tree conflict might be caused by both ILS and gene
 flow between species. All genera of Cannabaceae were recovered as
 monophyletic, except for Celtis, which consisted of two distinct clades:
 Celtis I (including most Celtis species) and Celtis II (including Celtis
 gomphophylla and Celtis schippii). We suggest that Celtis II should be
 recognized as the independent genus Sparrea based on both molecular and
 morphological evidence. Our work provides the most comprehensive and
 reliable phylogeny to date for Cannabaceae, enabling further exploration
 of evolutionary patterns across this family and highlighting the necessity
 of comparing nuclear with chloroplast data to examine the evolutionary
 history of plant groups.
DOI: 10.5281/zenodo.17667314
title: Archive of the numerically synthesized microtremor data used in Kimura and Morikawa 2026
DOI: 10.5281/zenodo.16881526
title: Archive of the numerically synthesized microtremor data used in Kimura and Morikawa 2026
DOI: 10.5517/ccdc.csd.cc28cls1
title: CCDC 2096523: Experimental Crystal Structure Determination

description: Related Article: Viktória Goldschmidt Gőz, Imre Jákli, István Varga, Zsolt Dürvanger, Veronika Harmat, István Pintér, Gitta Schlosser, András Perczel|2025|Chem.Methods|5|e202500077|doi:10.1002/cmtd.202500077
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.cc28ddvy
title: CCDC 2097300: Experimental Crystal Structure Determination

description: Related Article: Viktória Goldschmidt Gőz, Imre Jákli, István Varga, Zsolt Dürvanger, Veronika Harmat, István Pintér, Gitta Schlosser, András Perczel|2025|Chem.Methods|5|e202500077|doi:10.1002/cmtd.202500077
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.cc28ddx0
title: CCDC 2097302: Experimental Crystal Structure Determination

description: Related Article: Viktória Goldschmidt Gőz, Imre Jákli, István Varga, Zsolt Dürvanger, Veronika Harmat, István Pintér, Gitta Schlosser, András Perczel|2025|Chem.Methods|5|e202500077|doi:10.1002/cmtd.202500077
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.cc28gpwb
title: CCDC 2099502: Experimental Crystal Structure Determination

description: Related Article: Cuiping Xing, Huanting Yang, Kangjie Lv, Keying Lan, Guoliang Zhu, Bin Zhu, Biao Ren, Yi Jiang, Chenglin Jiang, Huanqin Dai, Xuming Mo, Tom Hsiang, Wael M. Abdelmageed, Lixin Zhang, Lan Jiang, Xueting Liu|2025|J.Agric.Food Chem.|73|19474|doi:10.1021/acs.jafc.5c04187
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.cc28twcc
title: CCDC 2110243: Experimental Crystal Structure Determination

description: Related Article: Yan-Yuan Jia, Jia-Cheng Yin, Na Li, Ying-Hui Zhang, Rui Feng, Zhao-Quan Yao, Xian-He Bu|2022|Chin.J.Chem.|40|589|doi:10.1002/cjoc.202100712
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.cc2bxl1x
title: CCDC 2172419: Experimental Crystal Structure Determination

description: Related Article: Anna Władyczyn, Aleksandra Simiczyjew, Dorota Nowak, Justyna Wądzyńska, Łukasz John|2023|Biomater. Adv.|146|213290|doi:10.1016/j.bioadv.2023.213290
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.cc2bxydm
title: CCDC 2172771: Experimental Crystal Structure Determination

description: Related Article: Anna Władyczyn, Aleksandra Simiczyjew, Dorota Nowak, Justyna Wądzyńska, Łukasz John|2023|Biomater. Adv.|146|213290|doi:10.1016/j.bioadv.2023.213290
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.cc2dj5y2
title: CCDC 2220094: Experimental Crystal Structure Determination

description: Related Article: Mohamed Akouibaa, Brahim El Bali, Morgane Poupon, Rachid Ouarsal, Mohammed Lachkar, Joris More-Chevalier, Jan Pokorny, Václav Eigner, Michal Dusek, Mark D. Symes, Zeliha Ertekin
|2024|J. Appl. Electrochem.|54|2293|doi:10.1007/s10800-024-02097-w
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.cc2dj5z3
title: CCDC 2220095: Experimental Crystal Structure Determination

description: Related Article: Mohamed Akouibaa, Brahim El Bali, Morgane Poupon, Rachid Ouarsal, Mohammed Lachkar, Joris More-Chevalier, Jan Pokorny, Václav Eigner, Michal Dusek, Mark D. Symes, Zeliha Ertekin
|2024|J. Appl. Electrochem.|54|2293|doi:10.1007/s10800-024-02097-w
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.cc2fp5t4
title: CCDC 2254686: Experimental Crystal Structure Determination

description: Related Article: Guowei Chen, Si-Wei Chen, Yaozu Su, Ru-Jia Wang, Luo Huang, Xiao-Long Liu, Long-Jiang Xing, Bo Liu, Jia-Ming Jin, Yanping Huo, Season Si Chen, Shaomin Ji, Man-Chung Tang, Wen-Cheng Chen|2025|Adv.Funct.Mater.|35|2501039|doi:10.1002/adfm.202501039
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.cc2fp5v5
title: CCDC 2254687: Experimental Crystal Structure Determination

description: Related Article: Guowei Chen, Si-Wei Chen, Yaozu Su, Ru-Jia Wang, Luo Huang, Xiao-Long Liu, Long-Jiang Xing, Bo Liu, Jia-Ming Jin, Yanping Huo, Season Si Chen, Shaomin Ji, Man-Chung Tang, Wen-Cheng Chen|2025|Adv.Funct.Mater.|35|2501039|doi:10.1002/adfm.202501039
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.cc2gt54m
title: CCDC 2288300: Experimental Crystal Structure Determination

description: Related Article: Vipin Kumar, Manisha Nidhar, Nitish Yadav, Muhammad Sheraj, Sooraj Sura, Ashish Kumar Tewari|2026|J.Mol.Struct.|1358||doi:10.1016/j.molstruc.2026.145299
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.cc2h8ctz
title: CCDC 2301961: Experimental Crystal Structure Determination

description: Related Article: Janine Blignaut, Hendrik G. Visser, Eleanor Fourie, Marietjie Schutte-Smith|2026|Inorg.Chem.|||doi:10.1021/acs.inorgchem.5c04993
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.cc2h8dpw
title: CCDC 2301988: Experimental Crystal Structure Determination

description: Related Article: Janine Blignaut, Hendrik G. Visser, Eleanor Fourie, Marietjie Schutte-Smith|2026|Inorg.Chem.|||doi:10.1021/acs.inorgchem.5c04993
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.cc2hf3tw
title: CCDC 2306518: 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.