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ShareScore release 0.9.0
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61 results for “Long-term Evolution”
Effects of the compositional viscosity ratio on the long-term evolution of thermo-chemical reservoirs in the deep mantle
<p>Datasets of the manuscript submitted to Geophysical Research Letters.</p>
Grasshopper genome reveals long-term conservation of the X chromosome and temporal variation in X chromosome evolution
<p>We present the first chromosome-level genome assembly of the grasshopper, <em>Locusta migratoria</em>, one of the largest insect genomes. We use coverage differences between females (XX) and males (X0) to identify the X chromosome gene content, and find that the X chromosome shows both complete dosage compensation in somatic tissues and an underrepresentation of testes-expressed genes. Remarkably, X-linked gene content from <em>L. migratoria </em>is highly conserved across four insect orders, namely Orthoptera, Hemiptera, Coleoptera and Diptera, and the 800 Mb grasshopper X chromosome is homologous to the fly ancestral X chromosome despite 400 million years of divergence, suggesting either repeated origin of sex chromosomes with highly similar gene content, or long-term conservation of the X chromosome. We use this broad conservation of the X chromosome to test for temporal dynamics to Fast-X evolution, and find evidence of a recent burst evolution for new X-linked genes in contrast to slow evolution of X-conserved genes. Additionally, our results reveal the X chromosome represents a hotspot for adaptive protein evolution related migration and the locust swarming phenotype. Overall, our results reveal a remarkable case of conservation and adaptation on the X chromosome.</p>
Predictors of Long-Term Evolution in Long COVID; 4-Year Follow-Up. (BioICOPER Follow-up Study)
ClinicalTrials.gov study NCT07295483. IPD Sharing: YES. Countries: 1. Publications: 0.
Data from: Large chromosomal rearrangements during a long-term evolution experiment with Escherichia coli
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Data from: Adaptation, clonal interference, and frequency-dependent interactions in a long-term evolution experiment with Escherichia coli
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Female and male song exhibit both parallel and divergent patterns of cultural evolution: a long-term study of song structure and diversity in tropical wrens
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Data from: Using long-term experimental evolution to uncover the patterns and determinants of molecular evolution of an Escherichia coli natural isolate in the streptomycin treated mouse gut
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Data from: Long-term experimental hybridisation results in a heterologous transition and the evolution of a new sex chromosome in swordtail fish
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Data from: Evolution of long-term coloration trends with biochemically unstable ingredients
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Data from: Long-term nitrogen addition causes the evolution of less cooperative mutualists
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Data from: Sustained fitness gains and variability in fitness trajectories in the long-term evolution experiment with Escherichia coli
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Data from: Strong selection significantly increases epistatic interactions in the long-term evolution of a protein
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TGLO Establish Historical Long-term Wetland Boundary Evolution Through Satellite Imagery
<p>This dataset includes wetland erosion rates for West Galveston, Matagorda, and San Antonio Bay. Long-term trends in wetland boundary changes are estimated using Landsat satellite imagery. Sections of the wetland experiencing the highest rates of erosion will be further investigated through CubeSat satellite observations. The format of the data is summarized as follows</p> <p>(1) Landsat based wetland evolution results from 1984 to 2020</p> <ul> <li>The Annual and seasonal water occurrence (in gif format)</li> <li>The wetland change map (in TIF format)</li> </ul> <p>(2) CubeSat based wetland evolution results from 2009 to 2020</p> <ul> <li>Water occurrence maps from 2009 to 2021 for the RapidEye based bi-annual results (FSX-occurrence-yyy1-yyy2.tif) and the PlanetScope based annual results (FSX-occurrence-yyy1.tif), where yyyy represents the given year. The legend image is 'occurrence-cbar.jpg'</li> <li>Erosion maps based on the difference between water occurrence mapping in 2009 and 2021: ('FSX-occurrence-diff-2021-2009.tif'). The legend is 'occurrence-diff-cbar.jpg'</li> <li>The 0.2-meter bed counter line images based on the water occurrence maps and the tide elevation threshold from 2017 to 2021: (FSX-bed-yyy1.tif). Again, yyy1 represents the given year. The legend is 'color-bed.jpg</li> <li>The difference between the beds in the 0.2-meter bed counter line images in 2017 and 2021 at FS-1, FS-2, FS-3, and FS-4: (FSX-bed-diff-2021-2017.tif). The legend is 'color-bed-dif.jpg'</li> </ul> <p>(3) Analysis of wetland boundary evolution and erosion rate</p> <ul> <li>Landsat based Wetland erosion rate from 1984 to 2020 and CubeSat erosion rate from 2009 to 2021 (data format in ArcGIS shapefile)*</li> <li>Landsat based coastlines in 1984, 2000, 2010, and 2020**</li> <li>* *The dataset also shown on the Coast Atlas website (<a href="https://www.texascoastalatlas.com/bayatlas/index.html">this link</a>)</li> </ul> <p> </p> <p> </p> <p> </p>
SCORE D3.9 - Models for the long-term evolution of the coastline (package)
<p>SCORE project TD3.9 datasets and scripts:</p> <p>Modelling tools and local datasets produced in the SCORE Task 3.5, for the long-term evolution of the coastline and uncertainties, estimated by the study of local morphodynamic processes and climatic projections. It contains a hybrid 2D/3D modelling chain, for sediment transport processes connected to hydrodynamic models at the storm scale. </p>
Data from: Long-term evolution on complex fitness landscapes when mutation is weak
Understanding evolution on complex fitness landscapes is difficult both because of the large dimensionality of sequence space and the stochasticity inherent to population-genetic processes. Here I present an integrated suite of mathematical tools for understanding evolution on time-invariant fitness landscapes when mutations occur sufficiently rarely that the population is typically monomorphic and evolution can be modeled as a sequence of well-separated fixation events. The basic intuition behind this suite of tools is that surrounding any particular genotype lies a region of the fitness landscape that is easy to evolve to, while other pieces of the fitness landscape are difficult to evolve to (due to distance, being across a fitness valley, etc.). I propose a rigorous definition for this ``dynamical neighborhood' of a genotype which captures several aspects of the distribution of waiting times to evolve from one genotype to another. The neighborhood structure of the landscape as a whole can be summarized as a matrix, and I show how this matrix can be used to approximate the expected waiting time for certain evolutionary events to occur and to provide an intuitive interpretation to existing formal results on the index of dispersion of the molecular clock.
Long-term Follow-up of Cognitive and Functional Evolutions of Persons With Isolated Cognitive Complaints or Mild Cognitive Deficits
ClinicalTrials.gov study NCT04111211. IPD Sharing: NO. Countries: 1. Publications: 0.
Long-term Evolution of Pulmonary Involvement of Novel SARS-COV-2 Infection (COVID-19): Follow the Covid Study
ClinicalTrials.gov study NCT04605757. IPD Sharing: NO. Countries: 1. Publications: 0.
Data from: Long-term evolution on complex fitness landscapes when mutation is weak
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Evolution of gene expression in one population of the Long-Term Evolution Experiment with Escherichia coli
GEO Series GSE126600. Escherichia coli B str. REL606; Escherichia coli. 18 samples. Type: Expression profiling by array.
On the deep carbon cycle in numerical modelling of mantle convection: Implications for the long-term climate evolution
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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.