cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5061/dryad.9gr00
title: Data from: Female preference for multi-modal courtship: multiple signals are important for male mating success in peacock spiders

description: A long-standing goal for biologists has been to understand how female
 preferences operate in systems where males have evolved numerous
 sexually-selected traits. Jumping spiders of the Maratus genus are
 exceptionally sexually dimorphic in appearance and signaling behavior.
 Presumably, strong sexual selection by females has played an important
 role in the evolution of complex signals displayed by males of this group,
 however, this has not yet been demonstrated. In fact, despite apparent
 widespread examples of sexual selection in nature, empirical evidence is
 relatively lacking, especially for species employing multiple modalities
 for intersexual communication. In order to elucidate whether female
 preference can explain the evolution of multi-modal signaling traits, we
 ran a series of mating trials using Maratus volans. We used video
 recordings and laser vibrometry to characterize, quantify and examine
 which male courtship traits predict various metrics of mating success. We
 found evidence for strong sexual selection on males in this system, with
 success contingent upon a combination of visual and vibratory displays.
 Additionally, independently produced, yet correlated suites of multi-modal
 male signals are linked to other aspects of female peacock spider
 behavior. Lastly, our data provide some support for both the redundant
 signal and multiple messages hypotheses for the evolution of multi-modal
 signaling.
description: Mating Trial
 DataProc B
 Data for Dryad.xlsx
DOI: 10.5061/dryad.nj3q5
title: Data from: Climate constrains lake community and ecosystem responses to introduced predators

description: Human activities have resulted in rising temperatures and the introduction
 or extirpation of top predators worldwide. Both processes generate
 cascading impacts throughout food webs and can jeopardize important
 ecosystem services. We examined the impact of fish stocking on communities
 and ecosystems in California mountain lakes across an elevation
 (temperature and dissolved organic carbon) gradient to determine how
 trophic cascades and ecosystem function vary with climate. Here, we show
 that the impact of fish on the pelagic consumer-to-producer biomass ratio
 strengthened at low elevation, while invertebrate community composition
 and benthic ecosystem rates (periphyton production and litter
 decomposition) were most influenced by predators at high elevation. A
 warming climate may therefore alter the stability of lake ecosystems by
 shifting the strength of top-down control by introduced predators over
 food web structure and function.
description: Physical, chemical and
 biological variables of 29 Sierra Nevada LakesThese data were
 collected from lakes in the summer of 2013 in 29 lakes in the Sierra
 Nevada of California. This includes physical, chemical and biological data
 such as zooplankton species abundances and body sizes, litter
 decomposition rates, nutrients and temperature.Symons & Shurin Dryad
 Data.csv
DOI: 10.5061/dryad.4ts50
title: Data from: Accumulation rates and sources of external nitrogen in decaying wood in a Norway spruce dominated forest

description: Microbial respiration in dead wood contributes substantially to the
 long-lived forest carbon (C) pool and has a significant role in the forest
 nitrogen (N) cycle. Wood N content has been found to increase during the
 decay process; however, temporal dynamics and the sources of this external
 N remain unclear. To examine N dynamics at various stages of
 decomposition, we combined high variety of analytical methods on Norway
 spruce logs, including wood δ15N, N%, 14C-dating, fungal composition and
 N2 fixation rate. For N2 fixation rate, we also determined its dependency
 on ambient temperature and decay class, when estimating annual N2 fixation
 rates for our study site. N2 fixation was observed to have a major role in
 increasing wood N content during decay. For the most decayed wood, it
 accounted for 60% of the total N accumulation. Compared to other reports,
 where the annual temperature was similar to our site, the calculated
 annual fixation rate of 85 g N ha−1 year−1 is a low estimate. However,
 previous studies have not taken appropriately into account the dependency
 of N2 fixation rate on ambient temperature and decay class. Our δ15N model
 describing the sources of external N, statistical analysis and the fungal
 DNA composition of decayed wood suggest that other sources of external N
 accumulating in wood were soil-foraging wood-decay fungi and mycorrhizal
 fungi. Our study improves knowledge of the temporal dynamics of N
 accumulation in wood with advancing wood decay, the potential sources of
 external N and their relative significance. All of these factors are
 important for nitrogen as well as carbon models dealing with ecosystem
 responses to climate change.
description: Wood properties and N2
 fixation ratesWood properties
 (density, moisture, relative N concentration and d15N) and N2 fixation
 rates measured for decaying Norway spruce wood collected from Lapinjärvi,
 Finland.Non-fungal data for
 archiving.xlsx
DOI: 10.5061/dryad.8dd39
title: Data from: Probabilistic methods surpass parsimony when assessing clade support in phylogenetic analyses of discrete morphological data

description: Fossil taxa are critical to inferences of historical diversity and the
 origins of modern biodiversity, but realizing their evolutionary
 significance is contingent on restoring fossil species to their correct
 position within the tree of life. For most fossil species, morphology is
 the only source of data for phylogenetic inference; this has traditionally
 been analysed using parsimony, the predominance of which is currently
 challenged by the development of probabilistic models that achieve greater
 phylogenetic accuracy. Here, based on simulated and empirical datasets, we
 explore the relative efficacy of competing phylogenetic methods in terms
 of clade support. We characterize clade support using bootstrapping for
 parsimony and Maximum Likelihood, and intrinsic Bayesian posterior
 probabilities, collapsing branches that exhibit less than 50% support.
 Ignoring node support, Bayesian inference is the most accurate method in
 estimating the tree used to simulate the data. After assessing clade
 support, Bayesian and Maximum Likelihood exhibit comparable levels of
 accuracy, and parsimony remains the least accurate method. However,
 Maximum Likelihood is less precise than Bayesian phylogeny estimation, and
 Bayesian inference recaptures more correct nodes with higher support
 compared to all other methods, including Maximum Likelihood. We assess the
 effects of these findings on empirical phylogenies. Our results indicate
 probabilistic methods should be favoured over parsimony.
description: MrBayesBlockCommands used for Bayesian AnalysessuppFigureS1Supplementary Figure S1. Bayesian, Maximum Likelihood, and Parsimony topologies of the data from Hilton and Bateman (2006). The optimal tree with node support is shown for each method (a-c) as well as the topologies that are produced after nodes with &lt;0.5 support are collapsed to polytomies (d-f), and when nodes with &lt;0.8 support are collapsed (g-i).suppFigureS2Supplementary Figure S2. Bayesian, Maximum Likelihood, and Parsimony topologies of the data from Luo et al. (2015). The optimal tree with node support is shown for each method (a-c) as well as the topologies that are produced after nodes with &lt;0.5 support are collapsed to polytomies (d-f), and when nodes with &lt;0.8 support are collapsed (g-i).
DOI: 10.6084/m9.figshare.31155202
title: Multi-source open data for urban village

description: <b>Dataset Contents:</b><br><br><b>1. Remote Sensing Data</b><br>- Built-up extent boundaries (2020)<br>- Road network data extracted from OpenStreetMap (OSM)<br>- Used for spatial unit delineation<br><br><b>2. Social Sensing Data</b><br>- Point of Interest (POI) data from Gaode Map API<br>- Real estate information from Anjuke platform<br>- Building age and price attributes<br><b>3. Building Footprint Data</b><br>- Source: China Multi-Attribute Building (CMAB) dataset<br>- Features: Building outlines, heights, floor areas<br>- Spatial coverage: Five cities in southern Jiangsu<br>- Format: Shapefile/GeoJSON
DOI: 10.6084/m9.figshare.31155202.v1
title: Multi-source open data for urban village

description: <b>Dataset Contents:</b><br><br><b>1. Remote Sensing Data</b><br>- Built-up extent boundaries (2020)<br>- Road network data extracted from OpenStreetMap (OSM)<br>- Used for spatial unit delineation<br><br><b>2. Social Sensing Data</b><br>- Point of Interest (POI) data from Gaode Map API<br>- Real estate information from Anjuke platform<br>- Building age and price attributes<br><b>3. Building Footprint Data</b><br>- Source: China Multi-Attribute Building (CMAB) dataset<br>- Features: Building outlines, heights, floor areas<br>- Spatial coverage: Five cities in southern Jiangsu<br>- Format: Shapefile/GeoJSON
DOI: 10.5061/dryad.p460c
title: Data from: Solubilisation of phosphate and micronutrients by Trichoderma harzianum and its relationship with the promotion of tomato plant growth

description: Trichoderma harzianum strain SQR-T037 is a biocontrol agent that has been
 shown to enhance the uptake of nutrients (macro- and microelements) by
 plants in fields. The objective of this study was to investigate the
 contribution of SQR-T037 to P and microelement (Fe, Mn, Cu and Zn)
 nutrition in tomato plants grown in soil and in hydroponic conditions.
 Inoculation with SQR-T037 significantly improved the biomass and nutrient
 uptake of tomato seedlings grown in a nutrient-limiting soil. So we
 investigated the capability of SQR-T037 to solubilise sparingly soluble
 minerals in vitro via four known mechanisms: acidification by organic
 acids, chelation by siderophores, redox by ferric reductase and hydrolysis
 by phytase. SQR-T037 was able to solubilise phytate, Fe2O3, CuO, and
 metallic Zn but not Ca3(PO4)2 or MnO2. Organic acids, including lactic
 acid, citric acid, tartaric acid and succinic acid, were detected by HPLC
 and LC/MS in two Trichoderma cultures. Additionally, we inoculated tomato
 seedlings with SQR-T037 using a hydroponic system with specific nutrient
 deficiencies (i.e., nutrient solutions deficient in P, Fe, Cu or Zn and
 supplemented with their corresponding solid minerals) to better study the
 effects of Trichoderma inoculation on plant growth and nutrition.
 Inoculated seedlings grown in Cu-deficient hydroponic conditions exhibited
 increases in dry plant biomass (92%) and Cu uptake (42%) relative to
 control plants. However, we did not observe a significant effect on
 seedling biomass in plants grown in the Fe- and Zn-deficient hydroponic
 conditions; by contrast, the biomass decreased by 82% in the P-deficient
 hydroponic condition. Thus, we demonstrated that Trichoderma SQR-T037
 competed for P (phytate) and Zn with tomato seedlings by suppressing root
 development, releasing phytase and/or chelating minerals. The results of
 this study suggest that the induction of increased or suppressed plant
 growth occurs through the direct effect of T. harzianum on root
 development, in combination with indirect mechanisms, such as mineral
 solubilisation (including solubilisation via acidification, redox,
 chelation and hydrolysis).
description: PONE-D-15-00619R1_FTCData of PONE-D-15-00619R1.xlsx
DOI: 10.6084/m9.figshare.31155223
title: Data, code for "Image-Informed Micromechanical Modeling of the Scaled Nonlinearity and Hysteresis in Rock Deformation"

description: Data
DOI: 10.6084/m9.figshare.31155223.v1
title: Data, code for "Image-Informed Micromechanical Modeling of the Scaled Nonlinearity and Hysteresis in Rock Deformation"

description: Data
DOI: 10.5061/dryad.p46c3
title: Data from: When should I be aggressive? A state-dependent foraging game between competitors

description: More often than not, animals forage with other foragers present. A
 foraging game may take place when the outcome of a forager’s actions
 depends on both its own and other foragers’ strategies. Previous studies
 on predator–prey systems have verified that complex state-dependent
 foraging games exist between predators and prey. In this study, we looked
 for evidence of such a state-dependent foraging game between intra-guild
 competitors. We studied a desert rodent system featuring 2 coexisting
 species known to compete with each other: midday gerbils (Meriones
 meridianus, the dominant competitor) and 3-toed jerboas (Dipus sagitta,
 the subordinate competitor). We simultaneously manipulated the energetic
 states of both species and allowed them to forage and interact in arenas
 with artificial food patches. We found that both species responded to
 their own energetic states, whereas hungry jerboas also significantly
 responded to gerbils’ energetic state in terms of food harvest. Gerbils
 preferred to carry food items away when foraging alone but switched to
 on-tray consumption when jerboas were present. Jerboas harvested more food
 when gerbils were hungry and the most intensive interference occurred when
 hungry jerboas encountered well-fed gerbils. A plausible explanation for
 these results is that the future rather than current value of cacheable
 food is more important to well-fed gerbils. In contrast, hungry gerbils
 prefer immediate consumption to completely excluding jerboas from resource
 patches.
description: Data for
 BEHECO-2016-0354This Excel file contains
 the values of all the behavioral variables used in BEHECO-2016-0354. Notes
 on the acronyms and symbols are also included.
DOI: 10.5061/dryad.pv4dr73
title: Data from: Effects of male telomeres on probability of paternity in sand lizards

description: Standardized swim-up trials are used in IVF clinics to select particularly
 motile spermatozoa in order to increase the probability of a successful
 fertilization. Such trials demonstrate that sperm with longer telomeres
 have higher motility and lower levels of DNA damage. Regardless of whether
 sperm motility, and successful swim-up to fertilization sites, is a direct
 or correlational effect of telomere length or DNA damage, covariation
 between telomere length and sperm performance predicts a relationship
 between telomere length and probability of paternity in sperm competition,
 a prediction that for ethical reasons cannot be tested on humans. Here we
 test this prediction in sand lizards (Lacerta agilis) using experimental
 data from twice-mated females in a laboratory population, and telomere
 length in blood from the participating lizards. Female identity influenced
 paternity (while the mechanism was not identified), while relatively
 longer male telomeres predicted higher probability of paternity. We
 discuss potential mechanisms underpinning this result.
description: TeloSpermCompDataPostcopulatory processes in lizards
DOI: 10.5061/dryad.d35q5
title: Data from: Turtle embryos move to optimal thermal environments within the egg

description: A recent study demonstrated that the embryos of soft-shelled turtles can
 reposition themselves within their eggs to exploit locally warm
 conditions. In the current paper, we ask whether turtle embryos actively
 seek out optimal thermal environments for their development, as do
 post-hatching individuals. Specifically, (1) do reptile embryos move away
 from dangerously-high temperatures, as well as towards warm temperatures?
 and (2) is such embryonic movement due to active thermoregulation, or
 (more simply) to passive embryonic repositioning caused by local
 heat-induced changes in viscosity of fluids within the egg? Our
 experiments with an emydid turtle (Chinemys reevesii) show that embryos
 avoid dangerously high temperatures by moving to cooler regions of the
 egg. The repositioning of embryos is an active not passive process: live
 embryos move toward a heat source, whereas dead ones do not. Overall, our
 results suggest that behavioural thermoregulation by turtle embryos is an
 active process, genuinely analogous to the thermoregulatory behaviour
 exhibited by post-hatching ectotherms.
description: Embryonic movement
 data
DOI: 10.3217/8k87g-qbf66
title: CFD model for hydrogen combustion effects on the heat-up characteristics of steel samples

description: This CFD model simulates hydrogen and natural gas combustion in a semi-industrial furnace using a low-swirl burner and their impact on the transient heat-up of steel samples. The model captures detailed flame structures, temperature distributions, and convective heat transfer, allowing direct comparison of H₂ and NG effects on steel heating rates. It includes both a full-domain RANS approach and a numerically efficient localized turbulence model, reducing computation time by 90%. The model can be used to study fuel substitution strategies, emission reduction, and process optimization in high-temperature industrial furnaces. The heating process with H2 caused an enhanced convective heat transfer, which led to a 13% faster heating process compared to CH4. Overall, the combustion of H2 can both reduce emissions and increase efficiency through lower fuel input and faster heat-up times.

 

HOW TO USE THE ANSYS FLUENT MODEL

1) Read .cas file in FLUENT 19R2 (or higher)

2) Read the examplary pre-tabulated chemistry data or create your own data using a reaction mechanism like GRI3.0 and change boundary conditions accordingly

3) Run the calculation to obtain the solution data
DOI: 10.3217/dy18b-w7d41
title: CFD model for hydrogen combustion effects on the heat-up characteristics of steel samples

description: This CFD model simulates hydrogen and natural gas combustion in a semi-industrial furnace using a low-swirl burner and their impact on the transient heat-up of steel samples. The model captures detailed flame structures, temperature distributions, and convective heat transfer, allowing direct comparison of H₂ and NG effects on steel heating rates. It includes both a full-domain RANS approach and a numerically efficient localized turbulence model, reducing computation time by 90%. The model can be used to study fuel substitution strategies, emission reduction, and process optimization in high-temperature industrial furnaces. The heating process with H2 caused an enhanced convective heat transfer, which led to a 13% faster heating process compared to CH4. Overall, the combustion of H2 can both reduce emissions and increase efficiency through lower fuel input and faster heat-up times.

 

HOW TO USE THE ANSYS FLUENT MODEL

1) Read .cas file in FLUENT 19R2 (or higher)

2) Read the examplary pre-tabulated chemistry data or create your own data using a reaction mechanism like GRI3.0 and change boundary conditions accordingly

3) Run the calculation to obtain the solution data
DOI: 10.5061/dryad.8653
title: Data from: Is the evolution of inaccurate mimicry a result of selection by a suite of predators? A case study using myrmecomorphic spiders

description: Several hypotheses have been put forward to explain the evolution of
 inaccurate mimicry. Here we investigated the novel hypothesis that
 inaccurate mimicry (in color and shape) is maintained by opposing
 selective pressures from a suite of different predators: model-aversive
 visually oriented predators and model- and mimic-specialized predators
 indifferent to mimetic cues. We hypothesize that spiders resembling ants
 in color and shape escape predators that typically avoid ants, but fall
 prey to ant-eating predators. We tested whether inaccurate myrmecomorphic
 spiders are perceived as their models by two types of predators, and
 whether they can escape from these predators. We found that
 model-specialized (ant-eating) predators captured mimics significantly
 less frequently than their ant models, because mimics changed their
 behavior by fleeing predatory attacks. The fastest escape was found in
 less accurate mimics, indicating a negative association between visual
 resemblance and effectiveness of defenses. In trials with spider-eating
 predators, mimics were not captured more frequently than their models. The
 quality of defensive mechanisms appears to result from opposing selection
 forces exerted by the predator complex: mimics are more accurate (in color
 and shape) in microhabitats dominated by model-aversive predators, and
 less accurate in microhabitats with model- and mimic-specialized
 predators.
description: dataData from laboratory
 trials.
DOI: 10.5061/dryad.dh2vr
title: Data from: The comparative effects of large carnivores on the acquisition of carrion by scavengers

description: Pumas (Puma concolor) and black bears (Ursus americanus) are large
 carnivores that may influence scavenger population dynamics. We used
 motion-triggered video cameras deployed at deer carcasses to determine how
 pumas and black bears affected three aspects of carrion acquisition by
 scavengers: presence, total feeding times, and mean feeding bout
 durations. We found that pumas were unable to limit acquisition of carrion
 by large carnivores, but limited aspects of carrion acquisition of both
 birds and mesocarnivores. Through their suppression of mesocarnivores and
 birds, pumas apparently initiated a cascading pattern and increased
 carrion acquisition of small carnivores. In contrast, black bears
 monopolized carrion resources and generally had larger limiting effects on
 carrion acquisition of all scavengers. Black bears also limited puma
 feeding behaviors at puma kills, which may require pumas to compensate for
 energetic losses through increasing their kill rates of ungulates. Our
 results suggest that pumas provide carrion and selectively influence
 species acquiring carrion, while black bears limit carrion availability to
 all other scavengers. These results suggest that the effects of large
 carnivores on scavengers depend on attributes of both carnivores and
 scavengers (including size) and that competition for carcasses may result
 in intraguild predation as well as mesocarnivore release.
description: Scavenger Activity at
 Puma Kills and Experimental CarcassesAllen Scavenger
 Activity.xlsx
DOI: 10.5061/dryad.n2048
title: Data from: Modeling strategic sperm allocation: tailoring the predictions to the species

description: Two major challenges exist when empirically testing the predictions of
 sperm allocation theory. First, the study species must adhere to the
 assumptions of the model being tested. Unfortunately, the common
 assumption of sperm allocation models that females mate a maximum of once
 or twice does not hold for many, if not most, multiply and sequentially
 mating animals. Second, a model’s parameters, which dictate its
 predictions, must be measured in the study species. Common examples of
 such parameters, female mating frequency and sperm precedence patterns,
 are unknown for many species used in empirical tests. Here, we present a
 broadly applicable model, appropriate for multiply, sequentially mating
 animals, and test it in three species for which data on all the relevant
 parameter values are available. The model predicts that relative
 allocation to virgin females, compared to non-virgins, depends on the
 interaction between female mating rate and the sperm precedence pattern:
 relative allocation to virgins increases with female mating rate under
 first-male precedence, while the opposite is true under later-male
 precedence. Our model is moderately successful in predicting actual
 allocation patterns in the three species, including a cricket in which we
 measured the parameter values and performed an empirical test of
 allocation.
description: By
 matingData organized by mating
 eventBy
 maleData organized by
 male