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445 results for “data constraint”
Raw data for: Over-eruption in marsupial carnivore teeth: compensation for a constraint
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Data from: Shell constraints on evolutionary body size-limb size allometry can explain morphological conservatism in the turtle body plan
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Data from: Geographic and climatic constraints on bioregionalization of European ants
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Data from: Bacterial and fungal growth on fungal necromass and its diverse components: shared profiles and divergent constraints revealed by high-throughput phenotyping
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Data from: Morphological constraints on plant-mediated methane release and oxidation under experimental warming in a peatland and meadow on the Qinghai-Tibetan Plateau
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Data supporting Food web complexity weakens size-based constraints on the pyramids of life
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Data: Large old trees increase growth under shifting climatic constraints: Aligning tree longevity and individual growth dynamics in primary mountain spruce forests
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Data from: Sea-surface temperature pattern effects have slowed global warming and biased warming-based constraints on climate sensitivity
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Feather morphology data to reveal constraints of feather growth
<p><strong>Abstract</strong></p> <p>It has long been known that the growth-rate of feathers of birds is limited and that long feathers take disproportionally longer to grow than small feathers, which has severe consequences on moult duration and the completeness of moult in large birds. To reveal constraints of feather growth, we present two datasets: (a) Measurements taken from 45 plucked flight-feathers (14 primaries and 31 secondaries) from 6 dead Golden Eagles (4 – 13 primaries and/or secondaries per individual); (b) Measurements taken from all primaries of six passerine species. Explanations of the variables can be found in the Excel-files.</p> <p>More details about the two datasets presented here and a third dataset can be found in L. Jenni, K. Ganz, P. Milanesi, R. Winkler (2020): Determinants and constraints of feather growth. Plos ONE 10.1371/journal.pone.0231925.</p>
Data from: Behavioral constraints on local adaptation and counter-gradient variation: implications for climate change
<p>Resource allocation to growth, reproduction, and body maintenance varies within species along latitudinal gradients. Two hypotheses explaining this variation are local adaptation and counter-gradient variation. The local adaptation hypothesis proposes that populations are adapted to local environmental conditions and are therefore less adapted to environmental conditions at other locations. The counter-gradient variation hypothesis proposes that one population out performs others across an environmental gradient because its source location has greater selective pressure than other locations. Our study had two goals. First, we tested the local adaptation and counter-gradient variation hypotheses by measuring effects of environmental temperature on phenotypic expression of reproductive traits in the burying beetle, <i>Nicrophorus orbicollis</i> Say, from three populations along a latitudinal gradient in a common garden experimental design. Second, we compared patterns of variation to evaluate whether traits co-vary or whether local adaptation of traits preclude adaptive responses by others. Across a latitudinal range, <i>N. orbicollis</i> exhibits variation in initiating reproduction and brood sizes. Consistent with local adaptation, (1) beetles were less likely to initiate breeding at extreme temperatures, especially when that temperature represents their source range; (2) once beetles initiate reproduction, source populations produce relatively larger broods at temperatures consistent with their local environment. Consistent with counter-gradient variation, lower latitude populations were more successful at producing offspring at lower temperatures. We found no evidence for adaptive variation in other adult or offspring performance traits. This suite of traits does not appear to coevolve along the latitudinal gradient. Rather, response to selection to breed within a narrow temperature range may preclude selection on other traits. Our study highlights that <i>N. orbicollis</i> uses temperature as an environmental cue to determine whether to initiate reproduction, providing insight into how behavior is modified to avoid costly reproductive attempts. Furthermore, our results suggest a temperature constraint that shapes reproductive behavior.</p>
Heating Rates for Protons and Electrons in Polar Coronal Holes: Empirical Constraints from UVCS/SOHO (Associated Data)
<p>The accompanying files provide some "data behind the figures," as well as some supplementary data (e.g., properties of Monte Carlo trial models), for the paper titled "Heating Rates for Protons and Electrons in Polar Coronal Holes: Empirical Constraints from the Ultraviolet Coronagraph Spectrometer" (by Steven R. Cranmer), which was submitted to the Astrophysical Journal on 25 May 2020, and is currently undergoing revision in response to the referee's report as of 25 June 2020. All files ought to be in standard "Machine Readable Table" format.</p> <p>v1.1 note: The paper has been published as ApJ, vol. 900, paper number 105.<br> ADS link: https://ui.adsabs.harvard.edu/abs/2020ApJ...900..105C/abstract<br> </p>
Data from: Evolutionary constraint on low elevation range expansion: defense-abiotic stress tolerance tradeoff in crosses of the ecological model Boechera stricta
Most transplant experiments across species geographic range boundaries indicate that adaptation to stressful environments outside the range is often constrained. However, the mechanisms of these constraints remain poorly understood. We used extended generation crosses from diverged high and low elevation populations. In experiments across low elevation range boundaries, there was selection on the parental lines for abiotic stress tolerance and resistance to herbivores. However, in support of a defense-tolerance tradeoff, extended generation crosses showed non-independent segregation of these traits in the lab across a drought-stress gradient and in the field across the low elevation range boundary. Genotypic variation in a marker from a region of the genome containing a candidate gene (MYC2) was associated with change in the genetic tradeoff. Thus, using crosses and forward genetics, we found experimental genetic and molecular evidence for a pleiotropic tradeoff that could constrain the evolution of range expansion.
Data from: Constraints on song type matching in a songbird
In an eastern population of song sparrows (Melospiza melodia), song type matching occurs at above chance levels but does not signal aggressiveness. One explanation for the apparent ineffectiveness of matching as a signal is that the occurrence of matching is constrained by internal rules for ordering the production of song types. This constraint hypothesis is tested here in an experiment in which the singing of territorial male song sparrows is monitored in the field in real time, and subjects are confronted with playback of one of their song types either immediately after switching away from that type (short delay) or after having cycled through much of their repertoire since last singing that type (long delay). Matching was not significantly more likely in the long delay treatment than in the short delay treatment. The probability of matching did, however, depend significantly on prior bout length: the longer was a singer's last bout of a song type, the less likely the singer was to match it. There was also a suggestive effect of frequency of usage: males were more likely to match a song type the more frequently they normally sang that type, though this result was not significant after correcting for multiple comparisons. Thus, internal rules on how songs are sequenced exert constraints on the occurrence of song type matching, and such constraints can help to explain the apparent ineffectiveness of matching as a signal in this study population.
Data from: Constraints on fruit-tracking by birds at the range edge
Aims: Biotic interactions may be disrupted at the range boundary if the involved species are rare in the most distant sectors. This study assesses fruit-tracking by seed-dispersing birds wintering on the border of the Palaearctic, a region where many species become scarcer before reaching the limits of their distribution in the Sahara. Since vagrancy improves fruit-tracking, this study tests if vagrant birds track fruit resources better than non-vagrant birds and if their tracking ability is reduced at the range edge. Location: The Iberian Peninsula and the Maghreb Methods: Seed-dispersing passerines (O. Passeriformes) were counted in 134 sampling sites along a 2000 km long latitudinal belt. Relationships between bird numbers and latitude, temperature, shrub cover and fruit abundance were explored by multivariate analyses. In addition, the habitat matching rule was used to assess the ability of birds to track fruit changes along the latitudinal belt. Results: Fruit abundance and temperature were the main drivers of the distribution of vagrant birds (all of them migratory species) while for non-vagrant birds (most of them sedentary species) distribution was weakly correlated to the study variables. Vagrant birds tracked the spatial-temporal variations in fruit abundance but showed a reduced ability to fit numbers to fruit abundance changes in southern sectors. Main conclusions: Vagrant, migratory birds are responsible for large-scale tracking of fruit outputs but face some constraints on fruit-tracking at the far edge of the Palaearctic. Since the movements of these birds southwards are declining due to climate warming effects, these results suggest a future weakening of their role as seed dispersers in the most peripheral areas of the Palaearctic.
Data from: Multiple constraints cause positive and negative feedbacks limiting grassland soil CO2 efflux under CO2 enrichment
<p>Terrestrial ecosystems are increasingly enriched with resources such as atmospheric CO<sub>2</sub> that limit ecosystem processes. The consequences for ecosystem carbon cycling depend on the feedbacks from other limiting resources and plant community change, which remain poorly understood for soil CO<sub>2</sub> efflux, J<sub>CO2</sub>, a primary carbon flux from the biosphere to the atmosphere. We applied a unique CO<sub>2</sub> enrichment gradient (250 to 500 µL L<sup>-1</sup>) for eight years to grassland plant communities on soils from different landscape positions. We identified the trajectory of J<sub>CO2</sub> responses and feedbacks from other resources, plant diversity (effective species richness, exp(H)), and community change (plant species turnover). We found linear increases in J<sub>CO2</sub> on an alluvial sandy loam and a lowland clay soil, and an asymptotic increase on an upland silty clay soil. Structural equation modelling identified CO<sub>2</sub> as the dominant limitation on J<sub>CO2</sub> on the clay soil. In contrast with theory predicting limitation from a single limiting factor, the linear J<sub>CO2</sub> response on the sandy loam was reinforced by positive feedbacks from aboveground net primary productivity and exp(H), while the asymptotic J<sub>CO2</sub> response on the silty clay arose from a net negative feedback among exp(H), species turnover, and soil water potential. These findings support a multiple resource limitation view of the effects of global change drivers on grassland ecosystem carbon cycling and highlight a crucial role for positive or negative feedbacks between limiting resources and plant community structure. Incorporating these feedbacks will improve models of terrestrial carbon sequestration and ecosystem services.</p>
Data for Hydrogeochemical constraints shape hot spring microbial community compositions: Evidence from acidic, moderate-temperature springs and alkaline, high-temperature springs, southwestern Yunnan geothermal areas, China
<p>Original data for <strong>Hydrogeochemical constraints shape hot spring microbial community compositions: Evidence from acidic, moderate-temperature springs and alkaline, high-temperature springs, southwestern Yunnan geothermal areas, China. </strong></p>
Data from: Saprotrophic and ectomycorrhizal fungal sporocarp stoichiometry (C : N : P) across temperate rainforests as evidence of shared nutrient constraints among symbionts
Summary: Quantifying nutritional dynamics of free-living saprotrophs and symbiotic ectomycorrhizal fungi (EMF) in the field is challenging, but the stoichiometry of fruiting bodies (sporocarps) may be an effective methodology for this purpose. Carbon (C), nitrogen (N), and phosphorus (P) concentrations of soils, foliage and 146 sporocarp collections were analyzed from 14 Pseudotsuga menziesii var. menziesii stands across a podzolization gradient on Vancouver Island (Canada). N and P concentrations were considerably higher in saprotrophic fungi. Fungal N% increased with soil N content at a greater rate for saprotrophs than EMF, while fungal P% of saprotrophs was more constrained. Fungal N:P was more responsive to soil N:P for EMF (homeostatic regulation coefficient 'H' =2.9) than saprotrophs (H= 5.9), while N:P of EMF and host tree foliage scaled almost identically. Results underscore the role of EMF as nutrient conduits, supporting host trees, whereas saprotrophs maintain a greater degree of nutritional homeostasis. Site nutrient constraints were shared in equal measure between EMF and host trees, particularly for P, suggesting neither partner benefits from enhanced nutrition at the expense of the other. Sporocarp stoichiometry provides new insights into mycorrhizal relationships and illustrates pervasive P deficiencies across temperate rainforests of the Pacific Northwest.
Data from: Quantifying the effects of ecological constraints on trait expression using novel trait-gradient analysis parameters
1. Complex processes related to biotic and abiotic forces can impose limitations to assembly and composition of plant communities. Quantifying the effects of these constraints on plant functional traits across environmental gradients, and among communities, remains challenging. We define ecological constraint (Ci) as the combined, limiting effect of biotic interactions and environmental filtering on trait expression (i.e., the mean value and range of functional traits). 2. Here we propose a set of novel parameters to quantify this constraint by extending the trait-gradient analysis (TGA) methodology. The key parameter is ecological constraint, which is dimensionless and can be measured at various scales, e.g., on population and community levels. It facilitates comparing the effects of ecological constraints on trait expressions across environmental gradients, as well as within and among communities. 3. We illustrate the implementation of the proposed parameters using the bark thickness of 14 woody species along an aridity gradient on granite outcrops in southwestern Australia. We found a positive correlation between increasing environmental stress and strength of ecological constraint on bark thickness expression. Also, plants from more stressful habitats (shrublands on shallow soils and in sun-exposed locations) displayed higher ecological constraint for bark thickness than plants in more benign habitats (woodlands on deep soils and in sheltered locations). 4. The relative ease of calculation and dimensionless nature of Ci allow it to be readily implemented at various scales and make it widely applicable. It therefore has the potential to advance the mechanistic understanding of the ecological processes shaping trait expression. Some future applications of the new parameters could be investigating the patterns of ecological constraints i) among communities from different regions, ii) on different traits across similar environmental gradients, and iii) for the same trait across different gradient-types.
Data from: Evidence for repeated loss of selective constraint in rhodopsin of amblyopsid cavefishes (Teleostei: Amblyopsidae)
The genetic mechanisms underlying regressive evolution—the degeneration or loss of a derived trait—are largely unknown, particularly for complex structures such as eyes in cave organisms. In several eyeless animals, the visual photoreceptor rhodopsin appeared to retain functional amino-acid sequences. Hypotheses to explain apparent maintenance of function include weak selection for retention of light-sensing abilities and its pleiotropic roles in circadian rhythms and thermotaxis. In contrast, we show that there has been repeated loss of functional constraint of rhodopsin in amblyopsid cavefishes, as at least three cave lineages have independently accumulated unique loss-of-function mutations over the last 10.3 My. While several cave lineages still possess functional rhodopsin, they exhibit increased rates of nonsynonymous mutations that have greater effect on the structure and function of rhodopsin compared to those in surface lineages. These results indicate that functionality of rhodopsin has been repeatedly lost in amblyopsid cavefishes. The presence of a functional copy of rhodopsin in some cave lineages is likely explained by stochastic accumulation of mutations following recent subterranean colonization.
Data from: Do evolutionary constraints on thermal performance manifest at different organizational scales?
The two foremost hypotheses on the evolutionary constraints on an organism's thermal sensitivity – the hotter-is-better expectation, and the specialist–generalist trade-off – have received mixed support from empirical studies testing for their existence. Could these conflicting results reflect confusion regarding the organizational level (i.e. species > population > individual) at which these constraints should manifest? We propose that these evolutionary constraints should manifest at different organizational levels because of differences in their underlying causes and requirements. The hotter-is-better expectation should only manifest across separate evolutionary units (e.g. species, populations), and not within populations. The specialist–generalist trade-off, by contrast, should manifest within as well as between separate evolutionary units. We measured the thermal sensitivity of sprint performance for 440 rainforest sun skinks (Lampropholis coggeri) representing 10 populations, and used the resulting performance curves to test for evidence for the hypothesized constraints at two organizational levels: (i) across populations and (ii) within populations. As predicted, the hotter-is-better expectation was evident only at the across-population level, whereas the specialist–generalist trade-off was evident within, as well as across, populations. Our results suggest that, depending on the processes that drive them, evolutionary constraints can manifest at different organizational levels. Consideration of these underlying processes, and the organizational level at which a constraint should manifest, may help resolve conflicting empirical results.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.