cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/rgsfk4b34s
title: Vegetation characteristics data of degraded shrub dunes

description: This data includes plant species and their species importance values on dunes with varying degrees of degradation in degraded shrub dune areas of Yanchi County, Ningxia and Minqin County, Gansu.
DOI: 10.17632/rgsfk4b34s.1
title: Vegetation characteristics data of degraded shrub dunes

description: This data includes plant species and their species importance values on dunes with varying degrees of degradation in degraded shrub dune areas of Yanchi County, Ningxia and Minqin County, Gansu.
DOI: 10.17632/5ghm2nt663
title: Behavior-Reason data sets_260127

description: Capturing Consumer Experience Through Behavior–Reason Pairs via Social Media and LLM: A case study of Electronic Home Appliance
DOI: 10.5061/dryad.6b604g8
title: Data from: Fusion pore regulation by cAMP/Epac2 controls cargo release during insulin exocytosis

description: Regulated exocytosis establishes a narrow fusion pore as initial aqueous
 connection to the extracellular space, through which small transmitter
 molecules such as ATP can exit. Co-release of polypeptides and hormones
 like insulin requires further expansion of the pore. There is evidence
 that pore expansion is regulated and can fail in diabetes and
 neurodegenerative disease. Here we report that the cAMP-sensor Epac2
 (Rap-GEF4) controls fusion pore behavior by acutely recruiting two
 pore-restricting proteins, amisyn and dynamin-1, to the exocytosis site in
 insulin-secreting beta-cells. cAMP elevation restricts and slows fusion
 pore expansion and peptide release, but not when Epac2 is inactivated
 pharmacologically or in Epac2-/- (Rapgef4-/-) mice. Consistently,
 overexpression of Epac2 impedes pore expansion. Widely used antidiabetic
 drugs (GLP-1 receptor agonists and sulfonylureas) activate this pathway
 and thereby paradoxically restrict hormone release. We conclude that
 Epac2/cAMP controls fusion pore expansion and thus the balance of hormone
 and transmitter release during insulin granule exocytosis.
description: DataFig
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 3.7zDataFig4data files for Fig 4Fig 4.7zDataFig5data files for Fig 5Fig 5.7zDataFig6data files for Fig 6F6.7z
DOI: 10.17632/5ghm2nt663.1
title: Behavior-Reason data sets_260127

description: Capturing Consumer Experience Through Behavior–Reason Pairs via Social Media and LLM: A case study of Electronic Home Appliance
DOI: 10.17632/htxpksdrby
title: Human vs AI: how applicants perceive the fairness of different evaluators during shortlisting.

description: This study explored how applicants perceive the fairness of artificial intelligence (AI) compared to human evaluators during shortlisting, as well as how selection outcomes influence fairness perceptions. A total of 170 participants completed questionnaires immediately after a simulated job application that included a situational judgment test (T1). Twenty-four hours later, they were randomly assigned to a fictional evaluator and outcome, forming four experimental groups: AI-Successful, AI-Unsuccessful, Human-Successful, and Human-Unsuccessful, and were invited to complete a second questionnaire (T2). The changes in procedural justice between T1 and T2, along with differences in distributive justice, were analysed. Results showed that procedural justice perceptions among unsuccessful participants significantly declined, especially when evaluated by AI. Distributive justice scores were significantly lower for unsuccessful candidates and were unaffected by evaluator type. These findings suggest that while negative outcomes diminish fairness perceptions, AI evaluators are viewed as less procedurally fair than humans in this context. The study highlights the importance of careful and transparent AI implementation in selection processes.
DOI: 10.17632/htxpksdrby.1
title: Human vs AI: how applicants perceive the fairness of different evaluators during shortlisting.

description: This study explored how applicants perceive the fairness of artificial intelligence (AI) compared to human evaluators during shortlisting, as well as how selection outcomes influence fairness perceptions. A total of 170 participants completed questionnaires immediately after a simulated job application that included a situational judgment test (T1). Twenty-four hours later, they were randomly assigned to a fictional evaluator and outcome, forming four experimental groups: AI-Successful, AI-Unsuccessful, Human-Successful, and Human-Unsuccessful, and were invited to complete a second questionnaire (T2). The changes in procedural justice between T1 and T2, along with differences in distributive justice, were analysed. Results showed that procedural justice perceptions among unsuccessful participants significantly declined, especially when evaluated by AI. Distributive justice scores were significantly lower for unsuccessful candidates and were unaffected by evaluator type. These findings suggest that while negative outcomes diminish fairness perceptions, AI evaluators are viewed as less procedurally fair than humans in this context. The study highlights the importance of careful and transparent AI implementation in selection processes.
DOI: 10.5061/dryad.7k2526d
title: Data from: Land-use and climatic causes of environmental novelty in Wisconsin since 1890

description: Multiple global change drivers are increasing the present and future
 novelty of environments and ecological communities. However, most
 assessments of environmental novelty have focused only on future climate
 and were conducted at scales too broad to be useful for land management or
 conservation. Here, using historical county-level datasets of agricultural
 land use, forest composition, and climate, we conduct a regional-scale
 assessment of environmental novelty for Wisconsin landscapes from ca. 1890
 to 2012. Agricultural land-use data include six cropland types, livestock
 densities for four livestock species, and human populations. Forestry data
 comprise biomass-weighted relative abundances for 15 tree genera. Climate
 data comprise seasonal means for temperature and precipitation. We found
 that forestry and land use are the strongest cause of environmental
 novelty (NoveltyForest=3.66, NoveltyAg.=2.83, NoveltyClimate=1.60, with
 Wisconsin’s forests transformed by early 20th-century logging and its
 legacies and multiple waves of agricultural innovation and obsolescence.
 Climate change is the smallest contributor to contemporary novelty, with
 precipitation signals stronger than temperature. Magnitudes and causes of
 environmental novelty are strongly spatially patterned, with novelty in
 southern Wisconsin roughly twice that in northern Wisconsin. Forestry is
 the most important cause of novelty in the north, land use and climate
 change are jointly important in the southwestern Wisconsin, and land use
 and forest composition are most important in central and eastern
 Wisconsin. Areas of high regional novelty tend also to be areas of high
 local change, but local change has not pushed all counties beyond regional
 baselines. Seven counties serve as the best historical analogues for over
 half of contemporary Wisconsin counties (40/72), and so can offer useful
 historical counterparts for contemporary systems and help managers
 coordinate to tackle similar environmental challenges. Multi-dimensional
 environmental novelty analyses, like those presented here, can help
 identify the best historical analogues for contemporary ecosystems, places
 where new management rules and practices may be needed because novelty is
 already high, and the main causes of novelty. Separating regional novelty
 clearly from local change and measuring both across many dimensions and at
 multiple scales thus helps advance ecology and sustainability science
 alike.
description: Data Supplement:
 Land-use and climatic causes of environmental novelty in Wisconsin since
 1890This supplement
 quantifies and compares agricultural land use, forest composition, and
 climatic causes of environmental novelty in Wisconsin over the past
 century.EnviroNoveltyWI.zip
DOI: 10.5061/dryad.qm8b161
title: Data from: Synthesis and photoluminescence properties of silica-modified SiO2@ANA-Si-Tb@SiO2, SiO2@ANA-Si-Tb-L@SiO2 core-shell-shell nanostructured composites

description: Three novel core-shell nanostructured composites SiO2@ANA-Si-Tb,
 SiO2@ANA-Si-Tb-L (L = second ligand) with SiO2 as the core and terbium
 organic complex as the shell were successfully synthesized. The core and
 shell were connected together by covalent bonds. The terbium ion was
 coordinated with organic ligand forming terbium organic complex in the
 shell layer. The organosilane (HOOCC5H4NN(CONH(CH2)3Si(OCH2CH3)3)2
 (abbreviated as ANA-Si) was used as the first ligand and 1,
 10-phenanthroline (phen) or 2-thenoyltrifluoroacetone (TTA) was used as
 the second ligand. Furthermore, silica-modified SiO2@ANA-Si-Tb@SiO2,
 SiO2@ANA-Si-Tb-L@SiO2 core-shell-shell nanostructured composites were also
 synthesized by sol-gel chemical route, which involved the hydrolysis and
 polycondensation processes of tetraethoxysilane (TEOS) using
 cetyltrimethyl ammonium bromide (CTAB) as a surface-active agent. An
 amorphous silica shell was coated around the SiO2@ANA-Si-Tb,
 SiO2@ANA-Si-Tb-L core-shell nanostructured composites. The core-shell and
 core-shell-shell nanostructured composites exhibited excellent
 luminescence in solid state. Meanwhile, an improved luminescent stability
 property of the core-shell-shell nanostructured composites was observed
 for the aqueous solution. This type of core-shell-shell nanostructured
 composites exhibited bright luminescence, high stability and good
 solubility, which may present potential applications in the fields of
 optoelectronic devices, bio-imaging, medical diagnosis, and study on the
 structure of function composite materials.
description: Figuresnew
DOI: 10.5061/dryad.3pj6958
title: Data from: Climate effects on fish body size-trophic position relationship depend on ecosystem type

description: The energetic demand of consumers increases with body size and
 temperature. This implies that energetic constraints may limit the trophic
 position of larger consumers, which is expected to be lower in tropical
 than in temperate regions to compensate for energy limitation. Using a
 global dataset of 3,635 marine and freshwater ray-finned fish species, we
 addressed if and how climate affects the fish body size-trophic position
 relationship in both freshwater and marine ecosystems, while controlling
 for the effects of taxonomic affiliation. We observed significant fish
 body size-trophic position relationships for different ecosystems.
 However, only in freshwater systems larger tropical fish presented a
 significantly lower trophic position than their temperate counterparts.
 Climate did not affect the fish body size-trophic position relationship in
 marine systems. Our results suggest that larger tropical freshwater fish
 may compensate for higher energetic constraints feeding at lower trophic
 positions, compared to their temperate counterparts of similar body size.
 The lower latitudinal temperature range in marine ecosystems and/or their
 larger ecosystem size may attenuate and/or compensate for the energy
 limitation of larger marine fish. Based on our results, temperature may
 determine macroecological patterns of aquatic food webs, but its effect is
 contingent on ecosystem type. We suggest that freshwater ecosystems may be
 more sensitive to warming-induced alterations in food web topology and
 food chain length than marine ecosystems.
description: Appendix_S1Fish taxa, and associated features, used in the study.
DOI: 10.17632/cjwppwd3m5
title: Diel effects of ocean acidification on diatom

description: The physiological data of the diatom Thalassiosira weissflogii employed in studying the diel effects of ocean acidification.
DOI: 10.5061/dryad.r48d279
title: Data from: Discovering biogeographic and ecological clusters with a graph theoretic spin on factor analysis

description: Factor analysis (FA) has the advantage of highlighting each semi-distinct
 cluster of samples in a data set with one axis at a time, as opposed to
 simply arranging samples across axes to represent gradients. However, in
 the case of presence-absence data it is confounded by absences when
 gradients are long. No statistical model can cope with this problem
 because the raw data simply do not present underlying information about
 the length of such gradients. Here I propose a simple way to tease out
 this information. It is a simple emendation of FA called stepping down,
 which involves giving an absence a negative value when the missing species
 nowhere co-occurs with the species found in the relevant sample.
 Specifically, a binary co-occurrence graph is created, and the magnitude
 of negative values is made a function of how far the graph must be
 traversed in order to link the missing species with each species that is
 present. Simulations show that standard FA yields inferior results to FA
 based on stepped-down matrices in terms of mapping clusters into axes
 one-by-one. Standard FA is also uninformative when applied to a global bat
 inventory data set. Step-down FA (SDFA) easily flags the main
 biogeographic groupings. Methods like correspondence analysis, non-metric
 multidimensional scaling, and Bayesian latent variable modelling are not
 commensurate with SDFA because they do not seek to find a one-to-one
 mapping of axes and clusters. Stepping down seems promising as a means of
 illustrating clusters of samples, especially when there are subtle or
 complex discontinuities in gradients.
description: bat
 referencesA list of references to
 publications yielding site-specific inventory data for bats from around
 the world. Raw data are also reposited in the Ecological
 Register.bat_references.txtbat registerSite-specific inventory data for bats from around the world. Each line includes a count of the individuals belonging to a species found at a site. Raw data are also reposited in the Ecological Register.bat_register.txt
DOI: 10.17632/cjwppwd3m5.1
title: Diel effects of ocean acidification on diatom

description: The physiological data of the diatom Thalassiosira weissflogii employed in studying the diel effects of ocean acidification.
DOI: 10.17632/wvhh6zgyj2
title: Antibiotic Misuse Among People Living with HIV in Kampala: A Mixed-Methods Study on Prevalence and Contributing Factors

description: This dataset shows sociodemographic and clinical data for participants enrolled in the above nammed study as well as excerpts from qualitative interviews.
DOI: 10.5061/dryad.rm6qt87
title: Data from: A synthesis of ecosystem aboveground productivity and its process variables under simulated drought stress

description: 1. Projected increases in drought duration and intensity under climate
 change considerably affect aboveground productivity (ANPP) and associated
 process variables (photosynthesis rates (Pn), stomatal conductance (gs),
 soil respiration (Rs), and soil water content (SWC)). 2. Although ANPP has
 been extensively studied across the ecosystems, there is little consensus
 on how the spatiotemporal patterns of ANPP will be altered with increasing
 drought stress. Here, we present a global meta-analysis of ANPP and the
 four variables (610 observations from 78 studies) for drought duration,
 intensity, and their combination. 3. Forest-ANPP had stronger negative
 responses to long-term drought (34.44%; ≥ 4 yrs) than short-term drought
 (10.78%; ≤ 1 yr), and decreased more in Mediterranean forests than in
 tropical forests. Decreases in Pn and gs were strongest under long-term
 moderate drought. In the short term, Rs increased by 5.66% under light
 drought, but decreased by 14.12% and 28.43% under moderate and severe
 droughts. Grass-ANPP showed a nonlinear decrease with extended duration,
 and the rate slowed. Within light to severe intensities, ANPP decreased
 linearly, but became stable under extreme condition. In the short term,
 ANPP reduced more seriously with increasing drought intensity
 (12.01-30.34%). With aggravation of drought stress, the reductions in Rs
 and SWC increased. There was significant heterogeneity in grassland
 responses to drought stress. The greatest decreases in ANPP, Pn, and gs
 were observed in North America, and the reductions in Rs and SWC were
 greater in Western Europe. Shrub-ANPP showed stronger negative responses
 to long-term moderate drought (12.59%). Pn and gs declined significantly
 with increasing drought intensity. Variations in Rs to drought duration,
 intensity, and their combination were more complex, either showing
 positive or negative responses (dominated). 4. Synthesis. Forest-ANPP
 shows high sensitivity to long-term moderate drought, whereas grass-ANPP
 is more responsive to short-term drought. Compared to forests and
 grasslands, shrub-ANPP exhibits less sensitivity to droughts. Different
 responses of ecosystems were predominantly driven by physiological
 mechanisms or species differences in turnover time, community
 architecture, and drought adaptation strategies. Given these findings,
 future studies should focus on nonlinear patterns, response thresholds,
 and adaptation mechanisms when predicting and modelling feedback between
 ecosystems and climate change.
description: Supporting
 informationSupplementary
 information.docx
DOI: 10.17632/wvhh6zgyj2.1
title: Antibiotic Misuse Among People Living with HIV in Kampala: A Mixed-Methods Study on Prevalence and Contributing Factors

description: This dataset shows sociodemographic and clinical data for participants enrolled in the above nammed study as well as excerpts from qualitative interviews.
DOI: 10.5061/dryad.r886083
title: Data from: Neonicotinoids and ectoparasitic mites synergistically impact honeybees

description: The Western honeybee, Apis mellifera, is the most important managed
 pollinator globally and has recently experienced unsustainably high colony
 losses. Synergistic interactions among stressors are believed to be
 primarily responsible. However, despite clear evidence of strong effect on
 honeybee longevity of widely-employed neonicotinoid insecticides and of
 the ubiquitous ectoparasitic mite Varroa destructor, no data exist to show
 synergistic effects between these two stressors. Even though
 neonicotinoids had no significant impact by themselves, we here show for
 the first time a synergistic time-lag interaction between mites and
 neonicotinoids that resulted in significantly reduced survival of
 long-lived winter honeybees. Even though these mites are potent vectors of
 viruses, the virus-insecticide interaction had no significant impact. The
 data suggest a previously overlooked mechanism possibly explaining recent
 unsustainably high losses of managed A. mellifera honeybee colonies in
 many regions of the world. Future mitigation efforts should concentrate on
 developing sustainable agro-ecosystem management schemes that incorporate
 reduced use of neonicotinoids and sustainable solutions for V. destructor
 mites.
description: Complete raw
 dataComplete raw data used
 for the publication.Straub_Williams-et-al-2019-SciRep-Complete Raw Data.xlsx
DOI: 10.17632/4dvz54n34n
title: 20260127

description: Reinforcement Learning Recommendation Algorithms for Hypergraph Modeling Concert Sessions
DOI: 10.5061/dryad.s83d4n1
title: Data from: Characterizing innovators: ecological and individual predictors of problem-solving performance

description: Behavioural innovation, the use of new behaviours or existing ones in
 novel contexts, can have important ecological and evolutionary
 consequences for animals. An understanding of these consequences would be
 incomplete without considering the traits that predispose certain
 individuals to exhibit innovative behaviour. Several individual and
 ecological variables are hypothesized to affect innovativeness, but
 empirical studies show mixed results. We examined the effects of dominance
 rank, exploratory personality, and urbanisation on the innovativeness of
 wild-caught black-capped chickadees using a survival analysis of their
 performance in two problem-solving tasks. Additionally, we provide one of
 the first investigations of the predictors of persistence in a
 problem-solving context. For lever pulling, we found a trend for dominants
 to outperform subordinates, particularly in rural birds, which did not
 align with predictions from the necessity drives innovation hypothesis.
 When examining possible explanations for this trend we found that older
 chickadees outperformed younger birds. This follow-up analysis also
 revealed a positive effect of exploratory personality on the lever-pulling
 performance of chickadees. Our results suggest that experience may foster
 innovation in certain circumstances, for instance via the application of
 previously-acquired information or skills to a novel problem. As we found
 different predictors for both tasks, this suggests that task
 characteristics influence the innovative propensity of individuals, and
 that their effects should be investigated experimentally.
description: LeverPullingPerformancePaperRippingPerformancePersistence&Repeatability
DOI: 10.17632/4dvz54n34n.1
title: 20260127

description: Reinforcement Learning Recommendation Algorithms for Hypergraph Modeling Concert Sessions
DOI: 10.5061/dryad.n7c08t7
title: Data from: Population persistence under high mutation rate: from evolutionary rescue to lethal mutagenesis

description: Populations may genetically adapt to severe stress that would otherwise
 cause their extirpation. Recent theoretical work, combining stochastic
 demography with Fisher’s Geometric Model of adaptation, has shown how
 evolutionary rescue becomes unlikely beyond some critical intensity of
 stress. Increasing mutation rates may however allow adaptation to more
 intense stress, raising concerns about the effectiveness of treatments
 against pathogens. This previous work assumes that populations are rescued
 by the rise of a single resistance mutation. However, even in asexual
 organisms, rescue can also stem from the accumulation of multiple
 mutations in a single genome. Here, we extend this model to study the
 rescue process in an asexual population where the mutation rate is
 sufficiently high so that such events may be common. We predict both the
 ultimate extinction probability of the population and the distribution of
 extinction times. We compare the accuracy of different approximations
 covering a large range of mutation rates. Moderate increase in mutation
 rates favors evolutionary rescue. However, larger increase leads to
 extinction by the accumulation of a large mutation load, a process called
 lethal mutagenesis. We discuss how these results could help design
 “evolution-proof” anti-pathogen treatments that even highly mutable
 strains could not overcome.
description: Supplementary file
 1Supplementary file 1
 provides the details of the analytical derivations, the code producing the
 figures and the simulation code as a Mathematica© .cdf file (MATHEMATICA
 v. 11.3 Wolfram Research 2018) which can be open using the free “CDF
 player” available on the Wolfram websiteSupplementary_file_1.cdfSupplementary file 2Supplementary file 2 provides the Matlab© (MATLAB 2015a, The MathWorks, Natick, 2015) source code for the curve fitting procedure used for Eq.[8].Supplementary_file_2.zip
DOI: 10.17632/28fkgwc9rg
title: Interactive effects of washing and bulk packaging on long-term cold storage quality of balloon flower (Platycodon grandiflorus) roots
DOI: 10.17632/28fkgwc9rg.1
title: Interactive effects of washing and bulk packaging on long-term cold storage quality of balloon flower (Platycodon grandiflorus) roots