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795 results for “fluctuations”
The expression profiles of miRNAs in the heart with glucose fluctuation compared with sustained hyperglycemia.
GEO Series GSE40779. Rattus norvegicus. 15 samples. Type: Non-coding RNA profiling by array.
Data from: Pleistocene sea level fluctuation and host plant habitat requirement influenced the historical phylogeography of the invasive species Amphiareus obscuriceps (Hemiptera: Anthocoridae) in its native range
Background: On account of repeated exposure and submergence of the East China Sea (ECS) land bridge, sea level fluctuation played an important role in shaping the population structure of many temperate species across the ECS during the glacial period. The flower bug Amphiareus obscuriceps (Poppius, 1909) (Hemiptera: Anthocoridae) is an invasive species native to the Sino-Japanese Region (SJR) of East Asia. We tested the hypothesis of the ECS land bridge acting as a dispersal corridor or filter for A. obscuriceps during the glacial period. Specifically, we tested whether and the extent to which dispersal ability and host plant habitat requirement influenced the genetic structure of A. obscuriceps during the exposure of the ECS land bridge. Results: Phylogenetic and network analyses indicated that A. obscuriceps is composed of two major lineages, i.e., China and Japan. Divergence time on both sides of the ECS was estimated to be approximately 1.07 (0.79-1.32) Ma, which was about the same period that the sea level increased. No significant Isolation by Distance (IBD) relationship was found between Фst and Euclidean distances in the Mantel tests, which is consistent with the hypothesis that this species has a good dispersal ability. Our Last Glacial Maximum (LGM) niche modeling of plants that constitute preferred habitats for A. obscuriceps exhibited a similar habitat gap on the exposed ECS continental shelf between China and Japan, but showed a continuous distribution across the Taiwan Strait. Conclusion: Our results suggest that ecological properties (habitat requirement and dispersal ability), together with sea level fluctuation during the Pleistocene across the ECS, have shaped the genetic structure and demographic history of A. obscuriceps in its native area. The host plant habitat requirement could also be a key to the colonization of the A. obscuriceps species during the exposure of the ECS land bridge. Our findings will shed light on the potential role of habitat requirement in the process of biological invasion in future studies.
Data from: Experimental evolution under fluctuating thermal conditions does not reproduce patterns of adaptive clinal differentiation in Drosophila melanogaster
Experimental evolution can be a useful tool for testing the impact of environmental factors on adaptive changes in populations, and this approach is being increasingly used to understand the potential for evolutionary responses in populations under changing climates. However in natural populations selective factors will often be more complex than in laboratory environments and produce different patterns of adaptive differentiation. Here we test the ability for laboratory experimental evolution under different temperature cycles to reproduce well-known patterns of clinal variation in Drosophila melanogaster. Six fluctuating thermal regimes mimicking the natural temperature conditions along the east coast of Australia were initiated. Contrary to expectations based on field patterns there was no evidence for adaptation to thermal regimes as reflected by changes in cold and heat resistance following 1-3 years of laboratory natural selection. While laboratory evolution led to changes in starvation resistance, development time and body size, patterns were not consistent with those seen in natural populations. These findings highlight the complexity of factors affecting trait evolution in natural populations and indicate that caution is required when inferring likely evolutionary responses from the outcome of experimental evolution studies.
Data from: Adaptation and plasticity of animal communication in fluctuating environments
Adaptations that facilitate the reception of long-range signals under challenging conditions are expected to generate signal diversity when species communicate in different habitats. While we have a general understanding of how individual communicating animals cope with conditions influencing signal detection, the extent to which plasticity and evolutionary changes in signal characteristics contribute to interspecific differences in signaling behavior is unclear. We quantified the visual displays of free-living lizards and environmental variables known to influence display detection for multiple species from two separate island radiations. We found evidence of both adaptive evolution and adaptive plasticity in display characteristics as a function of environmental conditions, but plasticity accounted for most of the observed differences in display behavior across species. At the same time, prominent differences between the two island radiations existed in aspects of signaling behavior, unrelated to the environment. Past evolutionary events have therefore played an important role in shaping the way lizards adjust their signals to challenges in present-day environments. In addition to showing how plasticity contributes to interspecific differences in communication signals, our findings suggest the vagaries of evolution can in itself lead to signal variation between species.
Data from: Reticulate evolution and sea-level fluctuations together drove species diversification of slipper orchids (Paphiopedilum) in Southeast Asia
South-East Asia covers four of the world's biodiversity hotspots, showing high species diversity and endemism. Owing to the successive expansion and contraction of distribution and the fragmentation by geographical barriers, the tropical flora greatly diversified in this region during the Tertiary, but the evolutionary tempo and mode of species diversity remain poorly investigated. Paphiopedilum, the largest genus of slipper orchids comprising nearly 100 species, is mainly distributed in South-East Asia, providing an ideal system for exploring how plant species diversity was shaped in this region. Here, we investigated the evolutionary history of this genus with eight cpDNA regions and four low-copy nuclear genes. Discordance between gene trees and network analysis indicates that reticulate evolution occurred in the genus. Ancestral area reconstruction suggests that vicariance and long-distance dispersal together led to its current distribution. Diversification rate variation was detected and strongly correlated with the species diversity in subg. Paphiopedilum (~80 species). The shift of speciation rate in subg. Paphiopedilum was coincident with sea-level fluctuations in the late Cenozoic, which could have provided ecological opportunities for speciation and created bridges or barriers for gene flow. Moreover, some other factors (e.g. sympatric distribution, incomplete reproductive barriers and clonal propagation) might also be advantageous for the formation and reproduction of hybrid species. In conclusion, our study suggests that the interplay of reticulate evolution and sea-level fluctuations has promoted the diversification of the genus Paphiopedilum and sheds light into the evolution of Orchidaceae and the historical processes of plant species diversification in South-East Asia.
Data for the preprint of "Layer-by-layer unsupervised clustering of statistically relevant fluctuations in noisy time-series data of complex dynamical systems"
<p>README: description of the files. </p> <p>This Zenodo repository contains all the data and original code necessary to reproduce the results of the paper https://doi.org/10.48550/arXiv.2402.07786. The code (continuously mantained and updated) is available open-source as a Python package at https://pypi.org/project/onion-clustering/ and on GitHub (https://github.com/matteobecchi/timeseries_analysis). </p> <p>The repository contains the folders "Fig1", "Fig2" etc, which contain the corresponding Datasets, together with the code to reproduce the figures. Additionally, the folder "FigS1 contains code and data for FigS1. </p> <p>The repository also contains the Supplementary Movies S1 to S4, in .mp4 format. </p>
Anomalous density fluctuations in a strange metal
<p>Momentum-resolved Electron Energy Loss Spectroscopy (M-EELS) data for each Figure in M. Mitrano, et al. PNAS 2018</p> <p>(doi:10.1073/pnas.1721495115)</p>
Environmental fluctuations accelerate molecular evolution of thermal tolerance in a marine diatom
<p>Data (other than molecular data, which are in the Sequence Read Archive as Bioproject PRJNA397360) for "Environmental fluctuations accelerate molecular evolution of thermal tolerance in a marine diatom" https://doi.org/10.1038/s41467-018-03906-5. </p> <p>1. "Data Figure01 natcomms Schaum et al.xlsx" contains data to analyse (and produce Figure 1A and B) for the fitness trajectories and thermal tolerance curves of growth.</p> <p>2. The raw growth rate data for the thermal tolerance curves of growth are provided in separate files: Data_thermal_tolerance_growth_t000.csv,Data_thermal_tolerance_growth_t100.csv,Data_thermal_tolerance_growth_t300.csv contain the growth rates across a temperature gradient for the ancestor (t000), the evolved samples after 100 generations (t100) and after 300 generations (t300). In these files, assayT is the assay temperature in degrees C, selected is the selection regime, and bore is the biological replicate. r is the growth rate, K is carrying capacity. quasi r2 (or 2) is a measure of the goodness of the fit that the growth rate was calculated from. pa is an identification column that gives a unique name to individual bioreplicate/ assay temperature/selection regime combinations. </p> <p>3. Photosynthesis and respiration data for Figure 2 a-e is contained in the files</p> <p>"tdep_metab_t300_32" for 32 degree C data after 300 generations</p> <p>"tdep_metab_t000" for the ancestor</p> <p>"tdep_metab_all_else" for all other metabolism data, i.e. photosynthesis and respiration data after 100 and 300 generations of evolution in all selection environments. </p> <p>As this is a large amount of data, they are saved in RDS format. they can be opened in any version of R using the command readRDS(name of file here). </p> <p>4. File "Data_cell_volume_CNratio_etc" contains pg C per cell, CN ratios, NP ratios, and CN ratios, as well as cell volume and chlorophyll to carbon ratios for all selection regimes in the ancestor and the evolved lineages. </p> <p>5. File "Data_cell_size_RNAProtein_etc.csv" contains data on size in µm, RNA and protein per cell, as well as silicate per cell. </p> <p> </p>
Figure 3 in Using of fluctuating asymmetry in adult Pelophylax ridibundus (Amphibia: Anura: Ranidae) meristic traits as a method for assessing developmental stability of population and environmental quality of their habitat: industrial area in southern Bulgaria
Figure 3. Proportion of individuals with respective FAMI values by sexes (a) and by sites (b).
Data from: Large-scale network integration in the human brain tracks temporal fluctuations in memory encoding performance
Although activation/deactivation of specific brain regions have been shown to be predictive of successful memory encoding, the relationship between time-varying large-scale brain networks and fluctuations of memory encoding performance remains unclear. Here we investigated time-varying functional connectivity patterns across the human brain in periods of 30-40 s, which have recently been implicated in various cognitive functions. During functional magnetic resonance imaging, participants performed a memory encoding task, and their performance was assessed with a subsequent surprise memory test. A graph analysis of functional connectivity patterns revealed that increased integration of the subcortical, default-mode, salience, and visual subnetworks with other subnetworks is a hallmark of successful memory encoding. Moreover, multivariate analysis using the graph metrics of integration reliably classified the brain network states into the period of high (vs. low) memo ry encoding performance. Our findings suggest that a diverse set of brain systems dynamically interact to support successful memory encoding.
Quinoa Improves Glycolipid Metabolism and Glucose Fluctuation Based on β-Cell Function in Early-stage Type 2 Diabetes
ClinicalTrials.gov study NCT07329231. IPD Sharing: NO. Countries: 1. Publications: 0.
Daily Fluctuations in Brain-Derived Neurotrophic Factor and Cognition: Effects of Vigorous Exercise
ClinicalTrials.gov study NCT07385118. IPD Sharing: NO. Countries: 1. Publications: 0.
How Estrogen Fluctuations Before Diagnosis Affect the Size Prolactin-secreting Tumors
ClinicalTrials.gov study NCT07268183. IPD Sharing: NO. Countries: 1. Publications: 0.
Stress and Vision Fluctuations in Retinitis Pigmentosa
ClinicalTrials.gov study NCT00475254. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Biomarkers in Exhaled Breath of Glucose Fluctuation in Type 1 Diabetes
ClinicalTrials.gov study NCT03435198. IPD Sharing: NO. Countries: 1. Publications: 0.
Fluctuation of Rhymicity to Predict Recovery
ClinicalTrials.gov study NCT04444648. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Intraocular Pressure, Blood Pressure, Ocular Perfusion and Blood Flow Fluctuations in Glaucoma Patients
ClinicalTrials.gov study NCT01304264. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Consequences and Correlates of Weight Fluctuations
ClinicalTrials.gov study NCT00005745. IPD Sharing: Not stated. Countries: 0. Publications: 1.
Glycemic Fluctuations in Newly Diagnosed Growth Hormone-Secreting Pituitary Adenoma and Cushing Syndrome Subjects
ClinicalTrials.gov study NCT02574793. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Keppra IV for the Treatment of Motor Fluctuations in Parkinson's Disease
ClinicalTrials.gov study NCT00584025. IPD Sharing: Not stated. Countries: 1. Publications: 0.
ScienceDex guides
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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.