Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
13
datasets available to search
ShareScore release 0.9.0
Dataset results
13 results for “floral signals”
Floral signals evolve in a predictable way under artificial and pollinator selection in Brassica rapa
<p>You find here the R scripts and data necessary to reproduce the results published in "Floral signals evolve in a predictable way under artificial and pollinator selection in Brassica rapa" by Zu et al. 2020 BMC Evolutionary Biology.</p> <p>The whole analysis is in the script "G-analysis.R". The associated data is loaded from the ".Rdata" and ".txt" files associated. The scripts "randG...R" are required to generate bootstrap replicates of G-matrix estimates. This is best done on an HPC cluster. To avoid having to run those randomizations, we provide the summary data we have generated from randomizations to run the full analysis.</p> <p>In Zu et al., we used data from an artificial selection and a pollinator (bumblebee, hoverfly) evolution experiment with fast cycling <em>Brassica rapa </em>plants to predict evolutionary changes of 12 floral volatiles and 4 morphological floral traits in response to selection. Using the observed selection gradients and the genetic variance-covariance matrix (G-matrix) of the traits, we showed that the observed responses of most floral traits including volatiles were predicted in the right direction in both artificial- and bumblebee-selection experiment. Genetic covariance had a mix of constraining and facilitating effects on evolutionary responses. We further revealed that G-matrices also evolved in the selection processes.</p> <p>We are depositing here the raw phenotypic data used to estimate the G-matrices in the artificial selection experiment along with the R scripts used to run the analyses.</p> <p>The phenotypic data of the pollinator experimental evolution experiment have been published elsewehere (Gervasi & Schiestl, 2017, Nature Communications 8:14691; doi:10.1038/ncomms14691).</p>
Floral Color Diversity: How Are Signals Shaped by Elevational Gradient on the Tropical–Subtropical Mountainous Island of Taiwan?
Open the record for dataset details and reuse information.
Do visual traits honestly signal floral rewards at community level?
<p>1. The high variability observed in floral traits has been interpreted as resulting from the adaptation of plants to pollinators, as the latter present innate preferences for specific floral traits and impose selection over them. However, some pollinators such as bees can learn to associate floral signals with rewards, thus increasing floral constancy on more rewarding flowers. The integration of all these rewards and cues is markedly important at community level, where co-flowering species compete for pollinators. 2. In order to verify the honesty of the above mentioned signals, we examined the association between floral visual signals (size, colour, symmetry and floral display) and rewards (pollen and nectar) for 98 species in a Mediterranean community. The associations between floral traits were analysed considering the phylogenetic relationship between the different species. 3. Flower colour, size, pollen volume, or amount of sucrose exhibited no phylogenetic signal, which suggests an adaptive evolution in response to different conditions in the pollinator community. Flower size was seen to constitute the most honest signal for pollinators, as this was significantly associated with quantities of pollen and nectar. In contrast, nectar concentration was observed to be positively associated with chromatic contrast. We detected no relationship between flower shape and rewards, on the one hand, or between flower display and rewards, on the other. 4. Our study unequivocally demonstrates the correlation between rewards and the visual signals perceived by bees, the most effective pollinators in the Mediterranean Basin. In the community studied, bees employed flower size at longer distances and chromatic contrast at shorter distances to predict rewards. The limited number of studies existing in this sense indicates that this kind of association appears to be community specific.</p>
Data for: A test of Sensory Drive in plant-pollinator interactions: habitat heterogeneity shapes pollinator preference for a floral visual signal
<p>DATA:</p> <p>FinnKoski_PollData_Final: Pollinator visitation data to floral arrays analyzed</p> <p>Spectra used for vismodels.zip: reflectance spectra of flowers and floral backgrounds, irradiance spectra</p> <p>ColorContrastData: visual contrast data analyzed</p> <p>CODE: </p> <p>vismod_code.R : code used for visual system modeling and calculation of contrast</p> <p>SAS_modelcode.R: SAS code used to analyze pollinator visitation data and color contrast data</p>
Do visual traits honestly signal floral rewards at community level?
Open the record for dataset details and reuse information.
Data from: The evolution of floral signals in relation to range overlap in a clade of California Jewelflowers (Streptanthus s.l.)
Because of their function as reproductive signals in plants, floral traits experience distinct selective pressures related to their role in speciation, reinforcement, and prolonged coexistence with close relatives. However, few studies have investigated whether population-level processes translate into detectable signatures at the macroevolutionary scale. Here, we ask whether patterns of floral trait evolution and range overlap across a clade of California Jewelflowers reflect processes hypothesized to shape floral signal differentiation at the population level. We found a pattern of divergence in floral scent composition across the clade such that close relatives had highly disparate floral scents given their age. Accounting for range overlap with close relatives explained additional variation in floral scent over time, with sympatric species pairs having diverged more than allopatric species pairs given their age. However, three other floral traits (flower size, scent complexity, and flower color) did not fit these patterns, failing to deviate from a null Brownian Motion model of evolution. Together, our results suggest that selection for divergence among close relatives in the composition of floral scents may play a key, sustained role in mediating speciation and coexistence dynamics across this group, and that signatures of these dynamics may persist at the macroevolutionary scale.
Data from: The evolution of floral signals in relation to range overlap in a clade of California Jewelflowers (Streptanthus s.l.)
Open the record for dataset details and reuse information.
Data from: Herbivore-induced DNA demethylation changes floral signalling and attractiveness to pollinators in Brassica rapa
Open the record for dataset details and reuse information.
CONSTANS and jasmonate signaling coordinate floral senescence in Arabidopsis
GEO Series GSE204774. Arabidopsis thaliana. 16 samples. Type: Expression profiling by high throughput sequencing.
JAZi-mediated jasmonate signaling is invoved in floral defense in Nicotiana attenuata
GEO Series GSE101143. Nicotiana attenuata. 12 samples. Type: Expression profiling by array.
Hd3a, RFT1 and Ehd1 integrate photoperiodic and drought stress signals to delay the floral transition in rice
GEO Series GSE78972. Oryza sativa. 12 samples. Type: Expression profiling by high throughput sequencing.
Abscisic acid and GIGANTEA signalling converge to regulate the recruitment of CONSTANS to the FT promoter and activate floral transition
GEO Series GSE291256. Arabidopsis thaliana. 8 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
AUXIN RESPONSE FACTOR3 Integrates the Functions of AGAMOUS and Auxin to Repress Cytokinin Biosynthesis and Signaling in Floral Meristem Determinacy
GEO Series GSE103054. Arabidopsis thaliana. 6 samples. Type: Expression profiling by high throughput sequencing.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.