cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5061/dryad.70423j5
title: Data from: Why is sterility virulence most common in sexually transmitted infections? examining the role of epidemiology

description: Sterility virulence, or the reduction in host fecundity due to infection,
 occurs in many host-pathogen systems. Notably, sterility virulence is more
 common for sexually-transmitted infections (STIs) than for
 directly-transmitted pathogens, while other forms of virulence tend to be
 limited in STIs. This has led to the suggestion that sterility virulence
 may have an adaptive explanation. By focusing upon finite population
 models, we show that the observed patterns of sterility virulence can be
 explained by consideration of the epidemiological differences between STIs
 and directly-transmitted pathogens. In particular, when pathogen
 transmission is predominantly density-invariant (as for STIs), and
 mortality is density-dependent, sterility virulence can be favoured by
 demographic stochasticity, whereas if pathogen transmission is
 predominantly density-dependent, as is common for most
 directly-transmitted pathogens, sterility virulence is disfavoured. We
 show these conclusions can hold even if there is a weak selective
 advantage to sterilizing.
description: Simulation code and
 dataSimulation code and
 simulation data used in paper and supplementary
 information.Simulation
 files.zip
DOI: 10.5517/ccdc.csd.cc2l5z1t
title: CCDC 2389016: Experimental Crystal Structure Determination

description: Related Article: Xin Li, Zi‐Xuan Guo, Chun‐Li Song, Ying‐Wei Yang|2026|Chem.Asian J.|21|e00905|doi:10.1002/asia.202500905
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.cc2lczzy
title: CCDC 2394811: Experimental Crystal Structure Determination

description: Related Article: Zeynep Güven, Hadi Dolati, Leo Wessel, René Frank
|2024|Molecules|29|5819|doi:10.3390/molecules29245819
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.cc2ld001
title: CCDC 2394812: Experimental Crystal Structure Determination

description: Related Article: Zeynep Güven, Hadi Dolati, Leo Wessel, René Frank
|2024|Molecules|29|5819|doi:10.3390/molecules29245819
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.6q308p8
title: Data from: Trophic consistency of supraspecific taxa in belowground invertebrate communities: comparison across lineages and taxonomic ranks

description: 1. Animals that have similar morphological traits are expected to share
 similar ecological niches. This statement applies to individual animals
 within a species and thus species often serve as the functional units in
 ecological studies. Species are further grouped into higher-ranked
 taxonomic units based on their morphological similarity and thus are also
 expected to be ecologically similar. On the other hand, theory predicts
 that strong competition between closely related species may result in
 differentiation of ecological niches. Due to high diversity and limited
 taxonomic expertise, soil food webs are often resolved using supraspecific
 taxa such as families, orders or even classes as functional units. 2. Here
 we tested the trophic differentiation and consistency of supraspecific
 taxa across major lineages of temperate forest soil invertebrates:
 Annelida, Chelicerata, Myriapoda, Crustacea and Hexapoda. Published data
 on stable isotope compositions of carbon and nitrogen were used to infer
 basal resources and trophic level, and explore the relationship between
 taxonomic and trophic dissimilarity of local populations. 3. Genera and
 families had normal and unimodal distributions of isotopic niches,
 suggesting that supraspecific taxa are trophically consistent. The
 isotopic niche of local populations varied considerably resulting in large
 overlap of niches among species. Within the same genus, the effect of
 species identity on stable isotope composition of populations was not
 significant in 92% of cases. More than 50% of the variability in Δ15N
 values (trophic level) across lineages was explained by classes and
 orders, while the variability in Δ13C values (basal resources) was
 explained mostly by families and genera. The variability in stable isotope
 composition in Chelicerata and Hexapoda was explained by lower taxonomic
 ranks than in Myriapoda. 4. We compiled a comprehensive list of mean Δ13С
 and Δ15N values of invertebrate taxa from temperate forest soils allowing
 to refine soil food-web models when measurements of trophic niches of
 local populations are not feasible. Supraspecific taxa are meaningful as
 trophic nodes in food-web studies, but the consistency varies among taxa
 and the choice of taxonomiс resolution depends on the research question;
 generally, identification of taxa should be more detailed in more diverse
 taxonomic groups.
description: Stable isotope
 composition of soil invertebrate taxaThis is a compilation of
 published data on stable isotope composition of soil invertebrate taxa
 from temperate forests identified to species/morphospecies level. The
 delta values are calibrated to the local plant litter in each
 habitat/community. Detailed description and references are found in the
 linked paper.FEPotapov_rawdata.xlsx
DOI: 10.5517/ccdc.csd.cc2ld012
title: CCDC 2394813: Experimental Crystal Structure Determination

description: Related Article: Zeynep Güven, Hadi Dolati, Leo Wessel, René Frank
|2024|Molecules|29|5819|doi:10.3390/molecules29245819
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.cc2ld023
title: CCDC 2394814: Experimental Crystal Structure Determination

description: Related Article: Zeynep Güven, Hadi Dolati, Leo Wessel, René Frank
|2024|Molecules|29|5819|doi:10.3390/molecules29245819
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.cc2ld034
title: CCDC 2394815: Experimental Crystal Structure Determination

description: Related Article: Zeynep Güven, Hadi Dolati, Leo Wessel, René Frank
|2024|Molecules|29|5819|doi:10.3390/molecules29245819
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.cc2ld045
title: CCDC 2394816: Experimental Crystal Structure Determination

description: Related Article: Zeynep Güven, Hadi Dolati, Leo Wessel, René Frank
|2024|Molecules|29|5819|doi:10.3390/molecules29245819
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.cc2ld056
title: CCDC 2394817: Experimental Crystal Structure Determination

description: Related Article: Zeynep Güven, Hadi Dolati, Leo Wessel, René Frank
|2024|Molecules|29|5819|doi:10.3390/molecules29245819
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.db86ft8
title: Data from: Non-trophic plant-animal interactions mediate positive density dependence among conspecific saplings

description: Trophic plant-animal interactions (e.g. browsing by ungulates, insect
 attack) are an important and well-studied source of mortality in many tree
 populations. Non-trophic tree-animal interactions (e.g. deer antler
 rubbing) also frequently lead to tree death, and thus have significant
 effects on forest ecosystem functioning, but they are much less well
 studied than trophic interactions are. As deer populations have increased
 in recent decades in the Northern Hemisphere, their impact on tree
 populations via browsing and antler rubbing will increase. The aim of the
 study was to illustrate the potential ability of non-trophic plant-animal
 interactions to regulate the dynamics of a natural forest. Specifically,
 we wanted to determine whether and how density and distance-dependent
 processes affect sapling mortality caused by an antler rubbing by red deer
 (Cervus elaphus). We used a spatially explicit approach to examine density
 and distance-dependent mortality effects in almost two thousand Picea
 abies saplings over 20 years, based on a fully mapped permanent 14.4 ha
 plot in a natural subalpine old-growth spruce forest. Antler rubbing by
 deer was the main identified cause of sapling mortality, and it showed a
 strong spatial pattern: positive density dependence of survival among
 spruce saplings. Deer selectively killed spruce saplings that were
 isolated from conspecifics. In consequence, non-trophic plant-deer
 interactions were a major driver of the spatial pattern of P. abies
 sapling survival. The other mortality causes (e.g. breaking, overturning)
 did not show density-dependent patterns or their effects were much weaker.
 In the medium and long term, the density-dependent pattern of sapling
 mortality due to antler rubbing can alter the tree stand structure. Our
 results highlight the ecological relevance of non-trophic plant-animal
 interactions for forest ecosystem functioning.
description: SPPA of Picea abies
 mortalityThe file consists of
 four sheets which present SPPA of mortality (p11{r}; p12{r} and g1,1+2 -
 g2,1+2 {r}) in years 1993-2013, 1993-2003 and 2003-2013:(1) overall
 mortality; (2) deer-caused mortality; (3) mortality due to mechanical
 causes and (4) mortality of unknown causes.Żywiec et al 2019
 Oikos-DRYAD.xlsx
DOI: 10.5517/ccdc.csd.cc2ldccr
title: CCDC 2395164: Experimental Crystal Structure Determination

description: Related Article: Jan Romano-deGea, Irina Sinenko, Peter M. F. Pânzar, Adriana Neves Vieira, Lindsey E. K. Frederiksen, Kseniya Glinkina, Farzaneh Fadaei Tirani, Rosario Scopelliti, Fabien Kuttler, Kelvin Lau, Paul Dyson|2026|Chemical Science|||doi:10.1039/D5SC05555E
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.cc2ldcds
title: CCDC 2395165: Experimental Crystal Structure Determination

description: Related Article: Jan Romano-deGea, Irina Sinenko, Peter M. F. Pânzar, Adriana Neves Vieira, Lindsey E. K. Frederiksen, Kseniya Glinkina, Farzaneh Fadaei Tirani, Rosario Scopelliti, Fabien Kuttler, Kelvin Lau, Paul Dyson|2026|Chemical Science|||doi:10.1039/D5SC05555E
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.cc2m0kbk
title: CCDC 2413608: Experimental Crystal Structure Determination

description: Related Article: Gang Zhou, Yuan Yao, Xiaoqian He, Weilu Zhang, Shanshan Liu, Xiao Shen|2026|Chem (Cell Press)|12||doi:10.1016/j.chempr.2025.102721
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.cc2m0kcl
title: CCDC 2413609: Experimental Crystal Structure Determination

description: Related Article: Gang Zhou, Yuan Yao, Xiaoqian He, Weilu Zhang, Shanshan Liu, Xiao Shen|2026|Chem (Cell Press)|12||doi:10.1016/j.chempr.2025.102721
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.cc2m6j2g
title: CCDC 2419335: Experimental Crystal Structure Determination

description: Related Article: Shen Qiao, Yanwei Tan, Zening Liu, Fan Ma, Shi Huang, Kangcai Wang, Yu Liu, Zongwei Yang|2025|Def.Technol.|51|127|doi:10.1016/j.dt.2025.05.026
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.cc2mnprr
title: CCDC 2432965: Experimental Crystal Structure Determination

description: Related Article: Ting-Qun Qiu, Hao-Dong Liu, Yu Xie, Yun-Lan Zhu, Jing-Wen Meng, Wen-Tong Chen, Xiu-Guang Yi|2026|J.Mol.Struct.|1357||doi:10.1016/j.molstruc.2026.145288
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.hj6mr
title: Data from: Controlled measurement and comparative analysis of cellular components in E. coli reveals broad regulatory changes in response to glucose starvation

description: How do bacteria regulate their cellular physiology in response to
 starvation? Here, we present a detailed characterization of Escherichia
 coli growth and starvation over a time-course lasting two weeks. We have
 measured multiple cellular components, including RNA and proteins at deep
 genomic coverage, as well as lipid modifications and flux through central
 metabolism. Our study focuses on the physiological response of E. coli in
 stationary phase as a result of being starved for glucose, not on the
 genetic adaptation of E. coli to utilize alternative nutrients. In our
 analysis, we have taken advantage of the temporal correlations within and
 among RNA and protein abundances to identify systematic trends in gene
 regulation. Specifically, we have developed a general computational
 strategy for classifying expression-profile time courses into distinct
 categories in an unbiased manner. We have also developed, from dynamic
 models of gene expression, a framework to characterize protein degradation
 patterns based on the observed temporal relationships between mRNA and
 protein abundances. By comparing and contrasting our transcriptomic and
 proteomic data, we have identified several broad physiological trends in
 the E. coli starvation response. Strikingly, mRNAs are widely
 down-regulated in response to glucose starvation, presumably as a strategy
 for reducing new protein synthesis. By contrast, protein abundances
 display more varied responses. The abundances of many proteins involved in
 energy-intensive processes mirror the corresponding mRNA profiles while
 proteins involved in nutrient metabolism remain abundant even though their
 corresponding mRNAs are down-regulated.
description: Readmedata_summarygrowthcurveglucose_time_course/RNARNA.tar.gzglucose_time_course/ProteinProtein.tar.gzglucose_time_course/lipidAlipidA.tar.gzglucose_time_course/phospholipidphospholipid.tar.gzflux
DOI: 10.5517/ccdc.csd.cc2mnq23
title: CCDC 2432975: Experimental Crystal Structure Determination

description: Related Article: Ting-Qun Qiu, Hao-Dong Liu, Yu Xie, Yun-Lan Zhu, Jing-Wen Meng, Wen-Tong Chen, Xiu-Guang Yi|2026|J.Mol.Struct.|1357||doi:10.1016/j.molstruc.2026.145288
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.vh380vb
title: Data from: Sepsis surveillance: an examination of parameter sensitivity and alert reliability

description: Objective: To examine performance of a sepsis surveillance system in a
 simulated environment where modifications to parameters and settings for
 identification of at-risk patients can be explored in-depth. Materials and
 Methods: This was a multiple center observational cohort study. The study
 population comprised 14 917 adults hospitalized in 2016. An expert-driven
 rules algorithm was applied against 15.1 million data points to simulate a
 system with binary notification of sepsis events. Three system scenarios
 were examined: a scenario as derived from the second version of the
 Consensus Definitions for Sepsis and Septic Shock (SEP-2), the same
 scenario but without systolic blood pressure (SBP) decrease criteria (near
 SEP-2), and a conservative scenario with limited parameters. Patients
 identified by scenarios as being at-risk for sepsis were assessed for
 suspected infection. Multivariate binary logistic regression models
 estimated mortality risk among patients with suspected infection. Results:
 First, the SEP-2-based scenario had a hyperactive, unreliable parameter
 SBP decrease &gt;40 mm Hg from baseline. Second, the near SEP-2
 scenario demonstrated adequate reliability and sensitivity. Third, the
 conservative scenario had modestly higher reliability, but sensitivity
 degraded quickly. Parameters differed in predicting mortality risk and
 represented a substitution effect between scenarios. Discussion:
 Configuration of parameters and alert criteria have implications for
 patient identification and predicted outcomes. Conclusion: Performance of
 scenarios was associated with scenario design. A single hyperactive,
 unreliable parameter may negatively influence adoption of the system. A
 trade-off between modest improvements in alert reliability corresponded to
 a steep decline in condition sensitivity in scenarios explored.
description: Dryad_data_3862Study population comprised of 3862 encounters reported in Tables 1 and 2.
DOI: 10.5517/ccdc.csd.cc2pykx4
title: CCDC 2501077: Experimental Crystal Structure Determination

description: Related Article: Chuan-Chuan Wang, Meng-Ru Ren, Qing-Long Wang, Shu-Yan Wu, Hong Zhang, Zhi-Hao Wang, Yao-Jie Xue, Ya-Jing Chen|2026|J.Org.Chem.|||doi:10.1021/acs.joc.5c02876
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.cc2nx4b2
title: CCDC 2469904: Experimental Crystal Structure Determination

description: Related Article: Hideyuki Takahashi, Hayato Kobayashi, Tadashi Kawasaki, Akiko Hori|2025|Chem.Lett.|54|upaf211|doi:10.1093/chemle/upaf211
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.cc2mzs4k
title: CCDC 2442649: Experimental Crystal Structure Determination

description: Related Article: Shriya Saha, Ibtesham Tarannum, Raúl Rojas-Luna, Jhuma Sannigrahi, Saurabh Kumar Singh, Souvik Roy, Raja Mitra|2026|Inorg.Chem.|||doi:10.1021/acs.inorgchem.5c04586
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.cc2q1n4l
title: CCDC 2504029: Experimental Crystal Structure Determination

description: Related Article: Wenbo Qiu, Xinglong Deng, Banele Vatsha, Manuel Fernandes, Andreas Lemmerer, Min Wu, Kai Wang, Giovanni Hearne, Weizhao Cai|2026|Cryst.Growth Des.|||doi:10.1021/acs.cgd.5c01712
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.