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96 results for “shift function”

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zenodo28/100

Figure 2 from: Mazón M, López X, Romero O (2020) Hymenoptera functional groups' shifts in disturbance gradients at Andean forests in Southern Ecuador. Journal of Hymenoptera Research 80: 1-15. https://doi.org/10.3897/jhr.80.60345

Figure 2 NMDS plots for hymenopteran families assemblages grouped by conservation level (A) and by reserve (B). Samples from the same group are gathered by convex hulls.

opencc-by-4.0Jan 2021View details →
zenodo28/100

Figure 3 from: Mazón M, López X, Romero O (2020) Hymenoptera functional groups' shifts in disturbance gradients at Andean forests in Southern Ecuador. Journal of Hymenoptera Research 80: 1-15. https://doi.org/10.3897/jhr.80.60345

Figure 3 Mean values of Shannon index for functional diversity of Hymenoptera collected in the three conservation levels (high, medium, low) from the four reserves of Andean forests. Vertical bars denote 95% confidence intervals. Different letters indicate statistically significant differences.

opencc-by-4.0Jan 2021View details →
dryad28/100

Data from: Social interactions elicit rapid shifts in functional connectivity in the social decision-making network of zebrafish

According to the social decision-making (SDM) network hypothesis, SDM is encoded in a network of forebrain and midbrain structures in a distributed and dynamic fashion, such that the expression of a given social behaviour is better reflected by the overall profile of activation across the different loci rather than by the activity of a single node. This proposal has the implicit assumption that SDM relies on integration across brain regions, rather than on regional specialization. Here we tested the occurrence of functional localization and of functional connectivity in the SDM network. For this purpose we used zebrafish to map different social behaviour states into patterns of neuronal activity, as indicated by the expression of the immediate early genes c-fos and egr-1, across the SDM network. The results did not support functional localization, as some loci had similar patterns of activity associated with different social behaviour states, and showed socially driven changes in functional connectivity. Thus, this study provides functional support to the SDM network hypothesis and suggests that the neural context in which a given node of the network is operating (i.e. the state of its interconnected areas) is central to its functional relevance.

opencc-zeroDec 2014View details →
dryad28/100

Data from: Coarse dark patterning functionally constrains adaptive shifts from aposematism to crypsis in strawberry poison frogs

Ecological specialization often requires tight co-evolution of several traits, which may constrain future evolutionary pathways and make species more prone to extinction. Aposematism and crypsis represent two specialized adaptations to avoid predation. We tested whether the combined effects of color and pattern on prey conspicuousness functionally constrain or facilitate shifts between these two adaptations. We combined data from 17 natural populations of Strawberry poison frogs, Oophaga pumilio with an experimental approach using digitalized images of frogs and chickens as predators. We show that bright coloration often co-occurs with coarse patterning among the natural populations. Dull green frogs with coarse patterning are rare in nature but in the experiment they were as easily detected as bright red frogs suggesting that this trait combination represent a transient evolutionary state towards aposematism. Hence, a gain of either bright color or coarse patterning leads to conspicuousness but a transition back to crypsis would be functionally constrained in populations with both bright color and coarse patterning by requiring simultaneous changes in two traits. Thus, populations (or species) signaling aposematism by conspicuous color should be less likely to face an evolutionary dead-end and more likely to radiate than populations with both conspicuous color and coarse patterning.

opencc-zeroDec 2013View details →
dryad28/100

Data from: Shifts in plant functional strategies over the course of wheat domestication

1. Human selection, changes in environmental conditions and management practices drove the phenotypic trajectory of crops during domestication. The characterization of the crop domestication syndrome lies mostly on reproductive characters. However, biophysical and ecophysiological constraints during vegetative growth are also at play and can strongly impact crop phenotypes. It has been argued that a broadened examination of crop phenotypes through a functional trait-based lens should improve our understanding of the domestication syndrome. 2. We used a collection of 39 genotypes representative of key steps during tetraploid wheat domestication, and grew them in a common garden experiment. We quantified the vegetative phenotype of each genotype through the measurements of 13 functional traits related to root, leaf and whole-plant dimensions. 3. In modern cultivars, compared to ancestral forms, leaf longevity was shorter while net photosynthetic rate, leaf production rate and nitrogen content were higher. Modern cultivars had a shallower root system and exhibited a larger proportion of fine roots, preferring to invest biomass above rather than below ground. We found ancestral forms to be integrated phenotypes characterized by coordination between above- and below-ground functioning. Conversely, in modern forms, human selection appeared to have broken this coordination and to have generated a new type of network of trait covariations. 4. Synthesis and applications. The examination of leaf, root, and whole-plant traits of wheat accessions indicated a strong shift in plant functional strategies over the course of domestication. Elite genotypes tended to better optimize resource-use acquisition strategies than ancestral ones. The characterization of the crop phenotype based on vegetative traits thus suggests a much more complete domestication syndrome. Our findings highlight the benefits of using a functional trait-based characterization of crop phenotypes to document the extent of domestication syndrome and to further advance the agroecological management of cereals.10-Oct-2017

opencc-zeroDec 2016View details →
dryad28/100

Data from: Shifting functional roles and the evolution of conifer pollen-producing and seed-producing cones

Exploring patterns in the evolution of seed plant reproductive morphology within a functional context offers a framework in which to identify and evaluate factors that potentially drive reproductive evolution. Conifers are a particularly useful group for studies of this kind because they have a long geologic history and their reproductive organs are borne on separate structures with discrete functions. Multivariate analysis of morphological data collected from pollen-producing and seed-producing cones of Paleozoic, Mesozoic, and extant conifer species shows that seed cones underwent a significant expansion of morphological diversity that began during the Early–Middle Jurassic and has continued into the present day. In contrast, pollen cones show significantly lower levels of morphological diversity and exhibit similar basic morphologies throughout conifer evolutionary history. The increase in seed cone diversity through time is primarily the result of two novel structural and organizational features that evolved independently in different conifer families during the Mesozoic: robust, tightly packed cones in members of Araucariaceae, Cupressaceae sensu lato, and Pinaceae, and highly reduced, fleshy cones or solitary seeds in Podocarpaceae, Taxaceae, and some members of Cupressaceae sensu stricto. In extant conifers, these cone morphologies are associated with species that have strong interactions with vertebrate seed predators, seed dispersers, or a combination of both. This suggests that increases in the strength and complexity of biotic interactions in the Jurassic and Cretaceous were a primary driver of conifer reproductive evolution, and that patterns of character evolution relate to the increasing importance of cone tissue in seed protection and seed dispersal through time.

opencc-zeroDec 2010View details →
dryad28/100

Long-term shifts in the functional diversity of abandoned wet meadows – Impacts of historical disturbance and successional pathways

<p>Investigating the direction of changes in functional diversity involving successional pathways and historical disturbances may be a promising tool for predictions of the effectiveness of the semi-natural meadows conservation, with great emphasis on formulation of more cost-effective restoration strategies. The goal of this research was to assess the differences in long-term shifts in the functional diversity of plant species in semi-natural wet meadows unmanaged for the last 40 years, under the influence of different successional pathways and historical disturbances. Using ordination techniques, linear mixed-effect models, a set of plant functional traits and parameters of functional diversity, we assessed the importance of habitat filtering, competition and niche partitioning in shaping community assembly changes over time. The most dramatic shifts in functional diversity were found in the <i>Carex acutiformis </i>successional pathway after topsoil removal, where colonization by successional inhibitors was the main driver causing decreases in functional dispersion and divergence. This was expressed as a decrease in the importance of habitat filtering and replacement of specialized species by competitors with heavier seeds and higher specific leaf area. Regarding the <i>C. cespitosa</i> and <i>Salix cinerea </i>pathways, the magnitudes of shifts in functional diversity were milder and differed less between the historical topsoil removal and mowing treatments, thereby maintaining a large role for niche partitioning in shaping the vegetation structure. The results of our study highlight the importance of tussock sedges and shrubs as effective buffers against the biotic homogenization of meadows driven by the simplification of functional composition, even from a long-term perspective.</p>

opencc-zeroJan 2022View details →
dryad28/100

Data from: Nitrogen enrichment and warming shift community functional composition via distinct mechanisms: the role of intraspecific trait variability and species turnover

<p>1. Global change factors may shift community functional composition by driving species turnover (species occurrence and species relative abundance) and intraspecific trait variability. However, their relative contribution in determining the functional response of community to global change, especially nitrogen enrichment and warming, remains unclear.</p> <p>2. We conducted a fully factorial field experiment in a Tibetan alpine meadow to examine responses of plant community functional composition to nitrogen enrichment and warming by quantifying seven plant functional traits in each plot. Using the sum of squares decomposition, we further disentangled the relative contribution of intraspecific trait variability and species turnover to changes in community functional composition.</p> <p>3. We found that nitrogen enrichment caused a shift of plant community toward a more resource-acquisitive strategy, while warming resulted in a shift toward a more resource-conservative strategy. Plant intraspecific trait variability controls shifts in community functional composition in response to nitrogen enrichment, whereas species turnover (especially change in species relative abundance) mainly explains warming-induced shifts. Nitrogen enrichment and warming did not show significant interactive effects on plant functional composition.</p> <p>4. These findings suggest that nitrogen enrichment and warming can alter community functional composition of alpine meadow through distinct mechanisms. Plant intraspecific trait variability confers functional resilience of Tibetan alpine meadows under nitrogen enrichment, but warming could induce significant turnover of species that pronouncedly impacts community functioning in this highland ecosystem.</p>

opencc-zeroFeb 2022View details →
dryad28/100

Data from: Coarse dark patterning functionally constrains adaptive shifts from aposematism to crypsis in strawberry poison frogs

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publicJun 2014View details →
dryad28/100

Data from: Shifts in plant functional strategies over the course of wheat domestication

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publicOct 2018View details →
dryad28/100

Data from: Epistatic interactions influence terrestrial-marine functional shifts in cetacean rhodopsin

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publicFeb 2017View details →
dryad28/100

Data from: Social interactions elicit rapid shifts in functional connectivity in the social decision-making network of zebrafish

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publicSep 2015View details →
dryad28/100

Data from: Shifting functional roles and the evolution of conifer pollen-producing and seed-producing cones

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publicMar 2011View details →
dryad28/100

Long-term shifts in the functional diversity of abandoned wet meadows – Impacts of historical disturbance and successional pathways

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publicJan 2022View details →
dryad28/100

Data from: Shifting species and functional diversity due to abrupt changes in water availability in tropical dry forests

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publicOct 2018View details →
dryad28/100

Data from: Nitrogen enrichment and warming shift community functional composition via distinct mechanisms: the role of intraspecific trait variability and species turnover

Open the record for dataset details and reuse information.

publicFeb 2022View details →
geo24/100

Digital Spatial Profiling Reveals Functional Shift of Enterochromaffin Cell in Patients with Ulcerative Colitis

GEO Series GSE183853. Homo sapiens. 23 samples. Type: Expression profiling by high throughput sequencing; Other.

openGEO-OpenApr 2022View details →
geo24/100

Functional Subclone Profiling for Prediction of Treatment-Induced Intratumor Population Shifts and Discovery of Rational Drug Combinations in Human Glioblastoma [SNP]

GEO Series GSE72732. Homo sapiens. 7 samples. Type: Genome variation profiling by SNP array; SNP genotyping by SNP array.

openGEO-OpenDec 2016View details →
geo24/100

Replating of Human Pluripotent Stem Cell Derived Cardiomyocytes Induces a Shift in Myosin Heavy Chain Expression and Changes in Contractile Function

GEO Series GSE176154. Homo sapiens. 10 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenAug 2023View details →
geo24/100

Functional Subclone Profiling for Prediction of Treatment-Induced Intratumor Population Shifts and Discovery of Rational Drug Combinations in Human Glioblastoma [expression]

GEO Series GSE72927. Homo sapiens. 24 samples. Type: Expression profiling by array.

openGEO-OpenDec 2016View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record